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Geoffrey Hinton says people understand very little about how LLMs actually work, so they still think LLMs are very different from us - "but actually, it's very important for people to understand that they're very like us." LLMs don’t just generate words, but also meaning.

Any good tools to allow Agents to perform semantic search?

Mistral AI_

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Magistral-Small-2506

Nanonets

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Nanonets-OCR-s

Task: image-text-to-text

lz

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MonkeyOCR

Task: visual-document-retrieval

Qwen

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Qwen3-Embedding-0.6B-GGUF

DeepSeek

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DeepSeek-R1-0528

Tencent

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Hunyuan3D-2.1

Task: image-to-3d

Fish Audio

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openaudio-s1-mini

Task: text-to-speech

Resemble AI

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chatterbox

Task: text-to-speech

Google

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gemma-3n-E4B-it-litert-preview

Task: image-text-to-text

udecode

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plate

Rich-text editor with AI, MCP, and shadcn/ui

Dao-AILab

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flash-attention

Fast and memory-efficient exact attention

f

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awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.

run-llama

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llama_index

LlamaIndex is the leading framework for building LLM-powered agents over your data.

RasaHQ

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rasa

💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

langchain-ai

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langchain

🦜🔗 Build context-aware reasoning applications

Project-HAMi

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HAMi

Heterogeneous AI Computing Virtualization Middleware(Project under CNCF)

coqui-ai

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TTS

🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

dagger

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dagger

An open-source runtime for composable workflows. Great for AI agents and CI/CD.