All tags
Model: "claude-3-haiku"
not much happened today
deepseek-v3 llama-3-1-405b gpt-4o gpt-5 minimax-01 claude-3-haiku cosmos-nemotron-34b openai deep-learning-ai meta-ai-fair google-deepmind saama langchain nvidia mixture-of-experts coding math scaling visual-tokenizers diffusion-models inference-time-scaling retrieval-augmented-generation ai-export-restrictions security-vulnerabilities prompt-injection gpu-optimization fine-tuning personalized-medicine clinical-trials ai-agents persistent-memory akhaliq
DeepSeek-V3, a 671 billion parameter mixture-of-experts model, surpasses Llama 3.1 405B and GPT-4o in coding and math benchmarks. OpenAI announced the upcoming release of GPT-5 on April 27, 2023. MiniMax-01 Coder mode in ai-gradio enables building a chess game in one shot. Meta research highlights trade-offs in scaling visual tokenizers. Google DeepMind improves diffusion model quality via inference-time scaling. The RA-DIT method fine-tunes LLMs and retrievers for better RAG responses. The U.S. proposes a three-tier export restriction system on AI chips and models, excluding countries like China and Russia. Security vulnerabilities in AI chatbots involving CSRF and prompt injection were revealed. Concerns about superintelligence and weapons-grade AI models were expressed. ai-gradio updates include NVIDIA NIM compatibility and new models like cosmos-nemotron-34b. LangChain integrates with Claude-3-haiku for AI agents with persistent memory. Triton Warp specialization optimizes GPU usage for matrix multiplication. Meta's fine-tuned Llama models, OpenBioLLM-8B and OpenBioLLM-70B, target personalized medicine and clinical trials.
not much happened today
llama-3-2 llama-3 gemma-2 phi-3-5-mini claude-3-haiku gpt-4o-mini molmo gemini-1.5 gemini meta-ai-fair openai allenai google-deepmind multimodality model-optimization benchmarks ai-safety model-distillation pruning adapter-layers open-source-models performance context-windows mira-murati demis-hassabis ylecun sama
Meta AI released Llama 3.2 models including 1B, 3B text-only and 11B, 90B vision variants with 128K token context length and adapter layers for image-text integration. These models outperform competitors like Gemma 2 and Phi 3.5-mini, and are supported on major platforms including AWS, Azure, and Google Cloud. OpenAI CTO Mira Murati announced her departure. Allen AI released Molmo, an open-source multimodal model family outperforming proprietary systems. Google improved Gemini 1.5 with Flash and Pro models. Meta showcased Project Orion AR glasses and hinted at a Quest 3S priced at $300. Discussions covered new benchmarks for multimodal models, model optimization, and AI safety and alignment.
Llama 3.2: On-device 1B/3B, and Multimodal 11B/90B (with AI2 Molmo kicker)
llama-3-2 llama-3-1 claude-3-haiku gpt-4o-mini molmo-72b molmo-7b gemma-2 phi-3-5 llama-3-2-vision llama-3-2-3b llama-3-2-20b meta-ai-fair ai2 qualcomm mediatek arm ollama together-ai fireworks-ai weights-biases cohere weaviate multimodality vision context-windows quantization model-release tokenization model-performance model-optimization rag model-training instruction-following mira-murati daniel-han
Meta released Llama 3.2 with new multimodal versions including 3B and 20B vision adapters on a frozen Llama 3.1, showing competitive performance against Claude Haiku and GPT-4o-mini. AI2 launched multimodal Molmo 72B and 7B models outperforming Llama 3.2 in vision tasks. Meta also introduced new 128k-context 1B and 3B models competing with Gemma 2 and Phi 3.5, with collaborations hinted with Qualcomm, Mediatek, and Arm for on-device AI. The release includes a 9 trillion token count for Llama 1B and 3B. Partner launches include Ollama, Together AI offering free 11B model access, and Fireworks AI. Additionally, a new RAG++ course from Weights & Biases, Cohere, and Weaviate offers systematic evaluation and deployment guidance for retrieval-augmented generation systems based on extensive production experience.
Claude 3 is officially America's Next Top Model
claude-3-opus claude-3-sonnet claude-3-haiku gpt-4o-mini mistral-7b qwen-72b anthropic mistral-ai huggingface openrouter stable-diffusion automatic1111 comfyui fine-tuning model-merging alignment ai-ethics benchmarking model-performance long-context cost-efficiency model-evaluation mark_riedl ethanjperez stuhlmueller ylecun aravsrinivas
Claude 3 Opus outperforms GPT4T and Mistral Large in blind Elo rankings, with Claude 3 Haiku marking a new cost-performance frontier. Fine-tuning techniques like QLoRA on Mistral 7B and evolutionary model merging on HuggingFace models are highlighted. Public opinion shows strong opposition to ASI development. Research supervision opportunities in AI alignment are announced. The Stable Diffusion 3 (SD3) release raises workflow concerns for tools like ComfyUI and automatic1111. Opus shows a 5% performance dip on OpenRouter compared to the Anthropic API. A new benchmark stresses LLM recall at long contexts, with Mistral 7B struggling and Qwen 72b performing well.
Shipping and Dipping: Inflection + Stability edition
inflection-ai-2.5 stable-diffusion-3 claude-3-haiku claude-3-sonnet claude-3-opus tacticai inflection-ai stability-ai microsoft nvidia google-deepmind anthropic executive-departures gpu-acceleration ai-assistants geometric-deep-learning ai-integration ai-cost-reduction ai-job-displacement ai-healthcare model-release mustafa-suleyman
Inflection AI and Stability AI recently shipped major updates (Inflection AI 2.5 and Stable Diffusion 3) but are now experiencing significant executive departures, signaling potential consolidation in the GPU-rich startup space. Mustafa Suleyman has joined Microsoft AI as CEO, overseeing consumer AI products like Copilot, Bing, and Edge. Microsoft Azure is collaborating with NVIDIA on the Grace Blackwell 200 Superchip. Google DeepMind announced TacticAI, an AI assistant for football tactics developed with Liverpool FC, using geometric deep learning and achieving 90% expert approval in blind tests. Anthropic released Claude 3 Haiku and Claude 3 Sonnet on Google Cloud's Vertex AI, with Claude 3 Opus coming soon. Concerns about AI job displacement arise as NVIDIA introduces AI nurses that outperform humans at bedside manner at 90% lower cost.
Grok-1 in Bio
grok-1 mixtral miqu-70b claude-3-opus claude-3 claude-3-haiku xai mistral-ai perplexity-ai groq anthropic openai mixture-of-experts model-release model-performance benchmarking finetuning compute hardware-optimization mmlu model-architecture open-source memes sam-altman arthur-mensch daniel-han arav-srinivas francis-yao
Grok-1, a 314B parameter Mixture-of-Experts (MoE) model from xAI, has been released under an Apache 2.0 license, sparking discussions on its architecture, finetuning challenges, and performance compared to models like Mixtral and Miqu 70B. Despite its size, its MMLU benchmark performance is currently unimpressive, with expectations that Grok-2 will be more competitive. The model's weights and code are publicly available, encouraging community experimentation. Sam Altman highlighted the growing importance of compute resources, while Grok's potential deployment on Groq hardware was noted as a possible game-changer. Meanwhile, Anthropic's Claude continues to attract attention for its "spiritual" interaction experience and consistent ethical framework. The release also inspired memes and humor within the AI community.
MM1: Apple's first Large Multimodal Model
mm1 gemini-1 command-r claude-3-opus claude-3-sonnet claude-3-haiku claude-3 apple cohere anthropic hugging-face langchain multimodality vqa fine-tuning retrieval-augmented-generation open-source robotics model-training react reranking financial-agents yann-lecun francois-chollet
Apple announced the MM1 multimodal LLM family with up to 30B parameters, claiming performance comparable to Gemini-1 and beating larger older models on VQA benchmarks. The paper targets researchers and hints at applications in embodied agents and business/education. Yann LeCun emphasized that human-level AI requires understanding the physical world, memory, reasoning, and hierarchical planning, while Fran ois Chollet cautioned that NLP is far from solved despite LLM advances. Cohere released Command-R, a model for Retrieval Augmented Generation, and Anthropic highlighted the Claude 3 family (Opus, Sonnet, Haiku) for various application needs. Open-source hardware DexCap enables dexterous robot manipulation data collection affordably. Tools like CopilotKit simplify AI integration into React apps, and migration to Keras 3 with JAX backend offers faster training. New projects improve reranking for retrieval and add financial agents to LangChain. The content includes insights on AI progress, new models, open-source tools, and frameworks.
Not much happened piday
claude-3-haiku deepmind anthropic cohere embodied-ai-agents natural-language-instructions language-model-scaling mixture-of-experts retrieval-augmented-generation software-engineering ai-regulation differential-privacy privacy-preserving-learning humor demis-hassabis fchollet abacaj andrej-karpathy
DeepMind announces SIMA, a generalist AI agent capable of following natural language instructions across diverse 3D environments and video games, advancing embodied AI agents. Anthropic releases Claude 3 Haiku, their fastest and most affordable model, now available via API and Perplexity. New research explores language model scaling laws, over-training, and introduces Branch-Train-MiX (BTX) for efficient training of large language models using mixture-of-experts. Predictions suggest software engineering jobs will grow to 30-35 million in five years, aided by AI coding assistants like Cohere's Command-R focusing on retrieval-augmented generation and tool use. The EU AI Act is approved, mandating transparency in training data for GPAI systems. Privacy-preserving in-context learning with differential privacy is highlighted as promising work. Memes humorously discuss AI software engineers and notable figures like Andrej Karpathy.
Claude 3 just destroyed GPT 4 (see for yourself)
claude-3 claude-3-opus claude-3-sonnet claude-3-haiku gpt-4 anthropic amazon google claude-ai multimodality vision long-context model-alignment model-evaluation synthetic-data structured-output instruction-following model-speed cost-efficiency benchmarking safety mmitchell connor-leahy
Claude 3 from Anthropic launches in three sizes: Haiku (small, unreleased), Sonnet (medium, default on claude.ai, AWS, and GCP), and Opus (large, on Claude Pro). Opus outperforms GPT-4 on key benchmarks like GPQA, impressing benchmark authors. All models support multimodality with advanced vision capabilities, including converting a 2-hour video into a blog post. Claude 3 offers improved alignment, fewer refusals, and extended context length up to 1 million tokens with near-perfect recall. Haiku is noted for speed and cost-efficiency, processing dense research papers in under three seconds. The models excel at following complex instructions and producing structured outputs like JSON. Safety improvements reduce refusal rates, though some criticism remains from experts. Claude 3 is trained on synthetic data and shows strong domain-specific evaluation results in finance, medicine, and philosophy.