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Topic: "vector-search"
Mozilla's AI Second Act
llama-3 claude-3-opus gemini-1.5 deepseek-coder-v2 gpt-4 mozilla llamaindex anthropic etched-ai sohu deepseek openai vector-search inference-speed hardware-benchmarks context-windows open-source-models coding reasoning model-benchmarking gpu-inference agentic-ai justine-tunney stephen-hood tim-dettmers bindureddy
Mozilla showcased detailed live demos of llamafile and announced sqlite-vec for vector search integration at the AIE World's Fair. LlamaIndex launched llama-agents. Anthropic introduced new UI features and Projects for Claude with a 200K context window. Etched AI revealed a specialized inference chip claiming 500k tokens/sec, though benchmark claims are questioned. Sohu chip enables 15 agent trajectories/sec. Tim Dettmers shared theoretical GPU inference limits of ~300k tokens/sec for 8xB200 NVLink on 70B Llama. Deepseek Coder v2 outperforms Gemini and GPT-4 variants in coding and reasoning. The PyTorch documentary launched to little attention.