Open Source LLMs – Page 3 – AI.RadicalShift

newsMeta Unveils Llama 3: Next-Generation Open-Source AI Model with Unmatched Performance

AI assistants, Algorithms, Americas, Analytics, Artificial Intelligence, Datasets, Internet & Online, LLMs (Large Language Models), Machine learning, Open Source LLMs

April 18, 2024

Sheryl Rivera

AI, AMD, AWS, Code Shield, coding, CyberSec Eval 2, Databricks, Dell, Google Cloud, Group Query Attention, Hugging Face, Intel, large language model, Llama 3, Llama Guard 2, Meta, Meta AI, Microsoft Azure, multimodal, NVIDIA, open ecosystem, open-source, parameters, Qualcomm, Responsible Use Guide, tokenizer

MENLO PARK — Meta is proud to introduce Llama 3, the latest and most powerful generation of its large language model (LLM) suite. Available starting today, Llama 3 sets a new standard in open-source AI with two models featuring 8 billion and 70 billion parameters. These models promise enhanced performance across a wide array of…
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newsMeta Launches Smarter, Faster, and Responsible AI Assistant Powered by the Advanced Llama 3 Model

AI assistants, Algorithms, Americas, Analytics, Artificial Intelligence, Generative AI, Internet & Online, Machine learning, Open Source LLMs, Reinforcement learning, Responsible AI

April 18, 2024

Oleg Lazarov

AI assistant, artificial intelligence, benchmarks, coding, developer tools, fine-tuning, generative AI, human feedback, large language model, Llama 3, machine learning, Meta, Meta AI, Meta ecosystem, Meta Llama 3, open community, open-source, reasoning, reinforcement learning, responsible AI, supervised fine-tuning, training data

MENLO PARK — Meta has adopted a robust and forward-thinking approach to ensure that its Meta AI and Meta Llama 3 models are developed, deployed, and used responsibly. The company recognizes the transformative power of artificial intelligence but also understands the importance of mitigating risks associated with this technology. To this end, Meta has implemented…
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newsStarCoder2: Empowering Developers with Open-Access LLMs for Code Generation

AI assistants, Algorithms, Americas, Analytics, Artificial Intelligence, Automation, Generative AI, Industrial, Open Source LLMs

February 29, 2024

Sheryl Rivera

AI, BigCode Community, BigCode Open RAIL-M license, code generation, collaboration, enterprise applications, ethical development, generative AI, Harm de Vries, Hugging Face, industry-specific data, Jonathan Cohen, Leandro von Werra, LLMs, NVIDIA, open-access, programming languages, responsible AI, responsible innovation, Roberto Di Cosmo, ServiceNow, Software Heritage, StarCoder2, transparency

SANTA CLARA — In a groundbreaking collaboration, ServiceNow, Hugging Face, and NVIDIA have unveiled StarCoder2, a revolutionary family of open-access large language models (LLMs) designed to redefine code generation for enterprise applications. Developed in partnership with the esteemed BigCode Community, StarCoder2 marks a significant leap forward in performance, transparency, and cost-effectiveness in the realm of…
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newsGoogle Launches Gemma: Open Models for Responsible AI Development

AI assistants, Americas, Cloud, Generative AI, Internet & Online, Open Source LLMs, Reinforcement learning, Responsible AI

February 21, 2024

Sheryl Rivera

adversarial testing, AI research, AI solutions, Colab, DeepMind, developers, Gemini models, Gemma, GKE, Google, Google Cloud, Google Cloud credits, Google Cloud TPUs, Google Kubernetes Engine, Hugging Face, Hugging Face Transformers, instruction-tuned models, JAX, Kaggle, Keras 3.0, MaxText, MLOps, Model Card, NVIDIA, NVIDIA GPUs, NVIDIA NeMo™, open AI models, pre-trained models, PyTorch, red-teaming, reinforcement learning from human feedback (RLHF), researchers, responsible AI development, Responsible Generative AI Toolkit, retrieval-augmented generation (RAG), summarization, TensorFlow, TensorRT-LLM, Vertex AI

MOUNTAIN VIEW– Google is introducing a new generation of open AI models designed to support responsible AI development and assist developers and researchers globally. Gemma, built on the same research and technology behind Google’s Gemini models, aims to help foster safe, innovative AI creation. Developed by Google DeepMind and other teams across Google, Gemma is…
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newsDeutsche Telekom Teams Up with Fetch.ai Foundation to Propel AI and Web3 Technologies Forward

Artificial Intelligence, Automation, Cybersecurity, Europe, Industrial, Infrastructure & Utilities, IoT, Open Source LLMs, Telecom

February 13, 2024

Sheryl Rivera

AI, autonomous agents, Blockchain, Bosch, Cosmos protocol, decentralized internet, Deutsche Telekom, Dirk Röder, Fetch.ai, Fetch.ai Foundation, Humayun Sheikh, IoT, open-source, Peter Busch, security, Web3 technologies

BONN — Deutsche Telekom (ETR: DTE), a global leader in integrated telecommunications and Europe’s largest telecommunications provider by revenue, has announced a groundbreaking collaboration with the Fetch.ai Foundation, marking a significant milestone in advancing state-of-the-art AI and Web3 technologies within the Fetch.ai network. As the first corporate partner to join forces with the Fetch.ai Foundation,…
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newsAI Alliance Unites Global Leaders to Advance Safe and Transparent AI Development

AI assistants, Algorithms, Americas, Analytics, Artificial Intelligence, Generative AI, Internet & Online, LLMs (Large Language Models), Machine learning, Open Source LLMs, Responsible AI

December 4, 2023

Oleg Lazarov

A*STAR, Abdus Salam International Centre for Theoretical Physics, academia, Agency for Science, AI Alliance, Aitomatic, AMD, Anyscale, Boston University, Cerebras, CERN, Cleveland Clinic, College of Computing, Cornell University, Dartmouth, Data Science, Dell Technologies, Ecole Polytechnique Fédérale de Lausanne, ETH Zurich, Fast.ai, Fenrir, FPT Software, Government, Harvard, Hebrew University of Jerusalem, Hugging Face, IBM, ICTP, Imperial College London, Indian Institute of Technology Bombay, industry, Institute for Computer Science and Artificial Intelligence, Intel, Keio University, LangChain, Linux Foundation, LlamaIndex, Mass Open Cloud Alliance, Meta, MLCommons, Mohamed bin Zayed University of Artificial Intelligence, NASA, National Aeronautics and Space Administration, National Science Foundation, New York University, NumFOCUS, OpenTeams, Oracle, Partnership on AI, Quansight, Red Hat, Rensselaer Polytechnic Institute, Roadzen, Sakana AI, SB Intuitions, ServiceNow, Silo AI, Simons Foundation, Sony Group, Stability AI, Technology and Research, The University of Notre Dame, The University of Texas at Austin, The University of Tokyo, Together AI, TU Munich, UC Berkeley, University of Illinois Urbana-Champaign, Yale University

MENLO PARK — Meta and IBM have officially launched the AI Alliance, a global coalition dedicated to fostering collaboration between over 50 leading organizations, including AMD, Anyscale, CERN, Hugging Face, Intel, and numerous academic institutions such as Cornell, Dartmouth, and Yale. This international initiative, authored by Meta, is designed to advance open, responsible AI innovation…
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newsMeta Unveils DINOv2 and FACET: Advancing Computer Vision with Open Source and Fairness Evaluation

AI assistants, AI models, Americas, Analytics, Artificial Intelligence, Datasets, Internet & Online, Open Source LLMs, Responsible AI

August 31, 2023

Oleg Lazarov

age group, AI innovation, Apache 2.0 license, benchmarking, bias mitigation, classification, collaboration, computer vision, computer vision community, demographic attributes, depth estimation, detection, DINOv2, FACET, fairness evaluation, fairness in AI, gender presentation, Meta, Meta AI, open source research, performance disparities, person-related classification, responsible AI, segmentation, self-supervised learning, semantic image segmentation, skin tone, state-of-the-art models

MENLO PARK — Meta is advancing its efforts in computer vision technology, releasing new models and tools while ensuring fairness and transparency in AI development. Their latest development, DINOv2, a self-supervised learning-based model for computer vision, is now available under the Apache 2.0 license. This release includes models for semantic image segmentation and depth estimation, expanding…
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newsMeta and Microsoft Unveil Llama 2: Expanding Open Access to Generative AI for Innovation and Responsibility

AI assistants, Algorithms, Americas, Analytics, Artificial Intelligence, Internet & Online, LLMs (Large Language Models), Machine learning, Open Source LLMs

July 18, 2023

Sheryl Rivera

advanced AI technologies, AI safety, AWS, Azure, collaboration, commercial use, conversational AI, democratizing AI, developers, Education, environment, generative AI, Hugging Face, innovation, large language model, Llama 2, Llama Impact Challenge, Meta, Microsoft, Open Innovation AI Research Community, open-source, red-teaming, research, researchers, responsible AI, startups, transparency

MENLO PARK — Meta and Microsoft have announced the launch of Llama 2, the latest iteration of Meta’s open-source large language model, now available for both research and commercial use. This development marks an expansion of the long-standing partnership between the two tech giants, with Microsoft becoming the preferred partner for Llama 2. The model…
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newsFacebook AI Unveils Breakthrough Model to Accelerate Discovery of Life-Saving Drug Combinations

Algorithms, Americas, Analytics, Artificial Intelligence, Europe, Healthcare, Open Source LLMs, Pharma & Biotech

April 16, 2021

Oleg Lazarov

academic researchers, AI-driven method, AI-powered tools, biological systems, biomedical research, cancer cells, cancer treatment, complex diseases, Compositional Perturbation Autoencoder, COVID-19, CPA model, drug combinations, Drug Discovery, drug interactions, drug optimization, drug repurposing, Facebook AI, gene alterations, gene expression, Helmholtz Zentrum München, in silico, machine learning, open-source tool, personalized medicine, pharmaceutical labs, pharmaceutical research, RNA sequencing, single-cell RNA sequencing

MENLO PARK — In a groundbreaking development, a new AI-driven method has been introduced to fast-track the discovery of effective drug combinations to combat complex diseases. Developed by Facebook AI in collaboration with Helmholtz Zentrum München, the Compositional Perturbation Autoencoder (CPA) model aims to predict the effects of drug combinations, dosages, and timing, while also…
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newsFacebook AI and OpenMined Launch Privacy-Focused PyTorch Learning Series for Developers

AI assistants, Algorithms, Americas, Analytics, Artificial Intelligence, Internet & Online, Machine learning, Open Source LLMs

November 12, 2020

Sheryl Rivera

Android, artificial intelligence, cross-enterprise statistics, cryptographic signatures, developers, differential privacy, educational courses, Facebook AI, federated learning, federated statistics, homomorphic encryption, iOS, machine learning, mobile development, on-device database, OpenMined, PET, privacy, privacy-enhancing technology, privacy-preserving machine learning, Private AI Series, public key technology, PySyft, PyTorch, React.js, secure ML models, web development

MENLO PARK — In a new initiative to enhance privacy in artificial intelligence and machine learning (ML), Facebook AI has joined forces with OpenMined, an open-source community that specializes in privacy-focused AI development. Together, they are launching an educational series titled The Private AI Series, designed to teach developers about privacy-preserving machine learning (PPML) techniques…
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newsFacebook AI Unveils Groundbreaking Model for Direct Translation Across 100 Languages

AI assistants, Algorithms, Americas, Analytics, Artificial Intelligence, Internet & Online, Machine learning, Open Source LLMs

October 19, 2020

Oleg Lazarov

100 languages, AI-driven translation, Angela Fan, BLEU metric, data mining, direct translation, English-centric models, Facebook AI, global communication, language barriers, language pairs, language translation, M2M-100, machine translation, multilingual machine translation, multilingual models, open-sourced, scripts, training dataset, translation quality, universal translation model

MENLO PARK — Facebook AI has announced a significant advancement in multilingual machine translation with the introduction of M2M-100, the first model capable of translating between 100 different languages without relying on English as a bridge. This innovative model marks a milestone in AI-driven language translation, allowing direct translation between any pair of languages among…
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newsIntroducing PyTorch3D: Facebook AI’s Breakthrough Open-Source Library for 3D Deep Learning

AI assistants, Algorithms, Americas, Analytics, Artificial Intelligence, Deep learning, Internet & Online, Open Source LLMs

February 6, 2020

Oleg Lazarov

2D images, 3D data, 3D deep learning, 3D operators, 3D predictions, 3D reasoning, 3D reconstruction, 3D scene properties, 3D transformations, AI systems, bundle adjustment, chamfer loss, computer vision, CUDA kernels, deep learning pipelines, deep learning research, Detectron2, differentiable mesh renderer, differentiable rendering, Facebook AI, heterogeneous batches, loss functions, Mesh data structure, Mesh R-CNN, modular API, Neural Mesh Renderer, neural networks, open-source library, optimized operators, PyTorch3D, Soft Rasterizer, triangle meshes

MENLO PARK — Facebook AI has introduced PyTorch3D, an open-source library designed to simplify 3D deep learning by providing optimized tools and operators for researchers. PyTorch3D makes it easier to handle 3D data, enabling faster and more flexible research in areas like robotics, virtual reality, and object recognition. The library includes a variety of features…
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newsFacebook AI Enhances AI Habitat with Interactive Objects and Realistic Physics for Smarter Agent Training

AI assistants, Algorithms, Americas, Analytics, Artificial Intelligence, Internet & Online, Machine learning, Open Source LLMs, Robotics

January 21, 2020

Sheryl Rivera

3D virtual environments, ai assistants, AI Habitat, AI research, Bullet physics engine, complex situations, embodied AI, Facebook AI, GPU, Habitat-PyRobot-Bridge, interactive objects, JavaScript API, LoCoBot, Oculus Quest VR, open-source, photorealistic environments, realistic physics, Replica simulations, rigid body physics, robots, simulation platform, TensorBoard support, training agents, virtual worlds, WebGL

MENLO PARK — Facebook AI has launched a significant update to its open-source AI Habitat platform, aimed at enhancing the training of embodied AI agents in realistic 3D virtual environments. This update introduces interactive objects, realistic physics modeling, and more flexible simulation options, enabling researchers to train AI agents to not only navigate but also…
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newsFacebook AI Research Unveils Detectron2: A New Milestone in Object Detection Technology

AI assistants, Algorithms, Americas, Analytics, Artificial Intelligence, Internet & Online, Machine learning, Open Source LLMs

October 10, 2019

Oleg Lazarov

AI Technologies, Cascade R-CNN, cloud-based systems, computer vision, DensePose, Detectron2, Detectron2go, Facebook AI Research, FAIR, Mask R-CNN, mobile devices, modular design, object detection, object detection and segmentation, open-source collaboration, panoptic segmentation, PyTorch, research, semantic segmentation, TensorMask

MENLO PARK — In a major advancement for the field of computer vision, Facebook AI Research (FAIR) has announced the release of Detectron2, a groundbreaking object detection library built using PyTorch. This new iteration represents a significant leap forward from its predecessor, Detectron, with enhancements designed to meet the evolving needs of both researchers and…
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newsFacebook AI Launches AI Habitat: A Simulation Platform for Embodied AI Research

Algorithms, Americas, Analytics, Artificial Intelligence, Internet & Online, Machine learning, Open Source LLMs

June 14, 2019

Oleg Lazarov

3D reconstruction, AI Habitat, AI research, AI training, assistants, complex tasks, embodied agents, embodied AI, Facebook AI, Facebook Reality Labs, faster simulations, Gibson dataset, indoor environments, Matterport3D, modular design, open-source, photo-realistic 3D environments, real-world training, Replica, research, simulation platform, standardized benchmarks, Virtual Agents, virtual robots

MENLO PARK — Facebook AI has introduced AI Habitat, an open-source simulation platform designed to advance research in embodied AI by enabling virtual agents to navigate and interact in photo-realistic 3D environments. AI Habitat supports the development of AI systems, such as virtual robots and assistants, that can perform complex tasks within simulated spaces, bridging…
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newsFacebook Unveils AI and AR/VR Breakthroughs at F8 2018, Highlights Global Connectivity Efforts

AI assistants, Americas, Artificial Intelligence, Augmented reality, Industrial, Internet & Online, Machine learning, Open Source LLMs, Virtual reality

May 3, 2018

Oleg Lazarov

3D reconstructions, AI, AI research, AR/VR, augmented reality, connectivity, Facebook, Facebook AI, Facebook Developers, Facebook Engineering, global connectivity, Hungary, image recognition, Malaysia, Mike Schroepfer, photorealistic avatars, PyTorch 1.0, San Jose, Telecom Infra Project, Uganda, Virtual Reality

MENLO PARK — Facebook showcased its commitment to advancing technology during the second day of the F8 2018 conference, with a focus on connectivity, artificial intelligence (AI), and augmented/virtual reality (AR/VR). Key updates were shared by Chief Technology Officer Mike Schroepfer and other leading figures from Facebook’s engineering and research teams. Artificial Intelligence Advancements Facebook…
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newsFacebook Enhances AI Research with New Montreal Lab Led by AI Expert Joelle Pineau

Algorithms, Americas, Analytics, Artificial Intelligence, Internet & Online, Investment, Machine learning, Open Source LLMs, Reinforcement learning

September 16, 2017

Oleg Lazarov

AI Ecosystem, AI Lab, AI research collaborations, artificial intelligence, Canadian research community, CIFAR, dialog systems, Facebook AI expansion, Facebook AI Research, FAIR, government policies, Joelle Pineau, McGill University, MILA, Montreal, Montreal Institute for Learning Algorithms, open source software, Reasoning and Learning Lab, reinforcement learning, startups, Université de Montréal, Yann LeCun

MENLO PARK — Facebook has announced the expansion of its AI research initiatives by opening a new artificial intelligence research lab in Montreal. This move strengthens Facebook AI Research (FAIR) by adding to its existing teams in Menlo Park, New York, and Paris. The Montreal lab will focus on cutting-edge AI projects, with a special…
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newsRadicalShift.AI launches

Accelerated computing, Agriculture, AI accelerators, AI models, Algorithms, Americas, Analytics, Apparel, Fashion & Beauty, Art & Culture, Artificial Intelligence, Asia, Automotive, Autonomous driving, Aviation & Aerospace, Banks, Chatbots, Chemicals, Cloud, Computer vision, Construction, Deep learning, Defence, Economy, Education, Electronics & Machinery, Energy, Gas & Oil, Entertainment, Environment, Europe, Financial, Food & Beverage, Gaming, Generative AI, Generative pre-trained transformers (GPT), Government, Graph neural network (GNN), Healthcare, Industrial, Infrastructure & Utilities, Insurance, International Trade, Internet & Online, Investment, Language model training, LLMs (Large Language Models), Machine intelligence, Machine learning, Management, Market, Marketing, Media, Metals and Minerals, Natural language processing (NLP), Neural networks, Non Profit, Open Source LLMs, Pharma & Biotech, Politics, Predictive analytics, Quantum Computing, Real Estate, Region, Reinforcement learning, Responsible AI, Retail, Retrieval-augmented generation (RAG), Robotics, Science, Security & Safety, Speech recognition and generation, Sports, Startups, Technology, Telecom, Text-to-image, Text-to-video, Transportation & Logistics, Travel

April 23, 2017

RadicalShift.AI

AI, AI industry, AI industry graph, AI industry repository, Algorithms, artificial intelligence, deployments, elevator pitch, entities, insights to knowledge, investors, jobs, LLMs, news, NLP, paradigm shift, people, products, RadicalShift.ai, RAG, scalable open platform, tools, views

RadicalShift.ai represents the paradigm shift the artificial intelligence (AI) brings upon all of us, from the way we live and work to the way we do business. To help cope with these fundamental changes across life, industries and the world in general, we are obsessively observing (30+ markets across multiple continents) and covering the AI industry while building a scalable…
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What is RadicalShift AI?

RadicalShift.ai represents the paradigm shift the artificial intelligence (AI) brings upon all of us, from the way we live and work to the way we do business. To help cope with these fundamental changes across life, industries and the world in general, we are obsessively observing (30+ markets across multiple continents) and covering the AI industry while building a scalable open platform aimed at people, businesses and industry stakeholders to contribute across (benefit from) the entire spectrum of the AI industry from news, views, insights to knowledge, deployments, entities, people, products, tools, jobs, investors, pitch decks, and beyond, helping build what would potentially be a resourceful, insightful, knowledgeable and analytical source for AI related news, information and resources, ultimately becoming the AI industry graph/repository.

AI.RadicalShift

Category: Open Source LLMs

newsMeta Launches Smarter, Faster, and Responsible AI Assistant Powered by the Advanced Llama 3 Model

newsStarCoder2: Empowering Developers with Open-Access LLMs for Code Generation

newsGoogle Launches Gemma: Open Models for Responsible AI Development

newsDeutsche Telekom Teams Up with Fetch.ai Foundation to Propel AI and Web3 Technologies Forward

newsAI Alliance Unites Global Leaders to Advance Safe and Transparent AI Development

newsMeta and Microsoft Unveil Llama 2: Expanding Open Access to Generative AI for Innovation and Responsibility

newsFacebook AI Unveils Breakthrough Model to Accelerate Discovery of Life-Saving Drug Combinations

newsFacebook AI and OpenMined Launch Privacy-Focused PyTorch Learning Series for Developers

newsFacebook AI Unveils Groundbreaking Model for Direct Translation Across 100 Languages

newsIntroducing PyTorch3D: Facebook AI’s Breakthrough Open-Source Library for 3D Deep Learning

newsFacebook AI Enhances AI Habitat with Interactive Objects and Realistic Physics for Smarter Agent Training

newsFacebook AI Launches AI Habitat: A Simulation Platform for Embodied AI Research

newsFacebook Unveils AI and AR/VR Breakthroughs at F8 2018, Highlights Global Connectivity Efforts

newsFacebook Enhances AI Research with New Montreal Lab Led by AI Expert Joelle Pineau

newsRadicalShift.AI launches

What is RadicalShift AI?

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