Difference between revisions of "AI tools"

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(Reasoning)
(For Coding)
 
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* 2024-11Nov-22: Nvidia [https://github.com/NVlabs/hymba Hymba] ([https://developer.nvidia.com/blog/hymba-hybrid-head-architecture-boosts-small-language-model-performance/ blog]): small and high-performance
 
* 2024-11Nov-22: Nvidia [https://github.com/NVlabs/hymba Hymba] ([https://developer.nvidia.com/blog/hymba-hybrid-head-architecture-boosts-small-language-model-performance/ blog]): small and high-performance
 
* 2024-12Dec-06: Meta [https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct Llama 3.3] 70B
 
* 2024-12Dec-06: Meta [https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct Llama 3.3] 70B
 +
* [https://x.com/deepseek_ai/status/1872242657348710721 2024-12Dec-26]: [https://huggingface.co/deepseek-ai/DeepSeek-V3-Base DeepSeek-V3-Base] 671B
 +
* 2025-01Jan-02: [https://huggingface.co/PowerInfer/SmallThinker-3B-Preview SmallThinker-3B-Preview] (fine-tune of [https://huggingface.co/Qwen/Qwen2.5-3B-Instruct Qwen2.5-3b-Instruct])
  
 
===For Coding===
 
===For Coding===
C.f. [https://huggingface.co/spaces/bigcode/bigcode-models-leaderboard https://huggingface.co/spaces/bigcode/bigcode-models-leaderboard]
+
Rankings: [https://huggingface.co/spaces/bigcode/bigcode-models-leaderboard bigcode-models-leaderboard] and [https://codeelo-bench.github.io/#leaderboard-table CodeElo leaderboard]
 
* 2024-10Oct-06: [https://abacus.ai/ Abacus AI] [https://huggingface.co/abacusai/Dracarys2-72B-Instruct Dracarys2-72B-Instruct] (optimized for coding, fine-tune of [https://huggingface.co/Qwen/Qwen2.5-72B-Instruct Qwen2.5-72B-Instruct])
 
* 2024-10Oct-06: [https://abacus.ai/ Abacus AI] [https://huggingface.co/abacusai/Dracarys2-72B-Instruct Dracarys2-72B-Instruct] (optimized for coding, fine-tune of [https://huggingface.co/Qwen/Qwen2.5-72B-Instruct Qwen2.5-72B-Instruct])
 
* 2024-11Nov-09: [https://opencoder-llm.github.io/ OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models] ([https://huggingface.co/collections/infly/opencoder-672cec44bbb86c39910fb55e weights], [https://arxiv.org/abs/2411.04905 preprint])
 
* 2024-11Nov-09: [https://opencoder-llm.github.io/ OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models] ([https://huggingface.co/collections/infly/opencoder-672cec44bbb86c39910fb55e weights], [https://arxiv.org/abs/2411.04905 preprint])
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* 2024-11Nov-27: [https://qwenlm.github.io/blog/qwq-32b-preview/ Alibaba Qwen QwQ] 32B ([https://huggingface.co/Qwen/QwQ-32B-Preview model], [https://huggingface.co/spaces/Qwen/QwQ-32B-preview demo])
 
* 2024-11Nov-27: [https://qwenlm.github.io/blog/qwq-32b-preview/ Alibaba Qwen QwQ] 32B ([https://huggingface.co/Qwen/QwQ-32B-Preview model], [https://huggingface.co/spaces/Qwen/QwQ-32B-preview demo])
 
* [https://x.com/ruliad_ai/status/1864394941029322890 2024-12Dec-04]: [https://www.ruliad.co/ Ruliad] [https://huggingface.co/ruliad/deepthought-8b-llama-v0.01-alpha Deepthought] 8B ([https://chat.ruliad.co/ demo])
 
* [https://x.com/ruliad_ai/status/1864394941029322890 2024-12Dec-04]: [https://www.ruliad.co/ Ruliad] [https://huggingface.co/ruliad/deepthought-8b-llama-v0.01-alpha Deepthought] 8B ([https://chat.ruliad.co/ demo])
* 2024-12Dec-24: [https://huggingface.co/Qwen/QVQ-72B-Preview QvQ-72B-preview]
+
* 2024-12Dec-24: Qwen [https://huggingface.co/Qwen/QVQ-72B-Preview QvQ-72B-preview] (visual reasoning)
  
 
==Cloud LLM==
 
==Cloud LLM==
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* 2024-08: [https://arxiv.org/abs/2408.08921 Graph Retrieval-Augmented Generation: A Survey]
 
* 2024-08: [https://arxiv.org/abs/2408.08921 Graph Retrieval-Augmented Generation: A Survey]
 
* 2024-09: [https://arxiv.org/abs/2409.14924 Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely]
 
* 2024-09: [https://arxiv.org/abs/2409.14924 Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely]
 +
* 2024-12: [https://arxiv.org/abs/2412.17558 A Survey of Query Optimization in Large Language Models]
 
* List of [https://github.com/NirDiamant/RAG_Techniques RAG techniques]
 
* List of [https://github.com/NirDiamant/RAG_Techniques RAG techniques]
 
* [https://github.com/athina-ai/rag-cookbooks Advanced RAG Cookbooks👨🏻‍💻]
 
* [https://github.com/athina-ai/rag-cookbooks Advanced RAG Cookbooks👨🏻‍💻]
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* [https://cartesia.ai/ Cartesia] [https://cartesia.ai/sonic Sonic]
 
* [https://cartesia.ai/ Cartesia] [https://cartesia.ai/sonic Sonic]
 
* [https://neets.ai/ Neets AI] ($1/million characters)
 
* [https://neets.ai/ Neets AI] ($1/million characters)
 +
 +
=Text-to-audio=
 +
* 2024-12: [https://tangoflux.github.io/ TangoFlux]: [https://arxiv.org/abs/2412.21037 Super Fast and Faithful Text to Audio Generation with Flow Matching and Clap-Ranked Preference Optimization] ([https://github.com/declare-lab/TangoFlux code])
  
 
=Vision=
 
=Vision=
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* [https://github.com/cyclotruc/gitingest GitIngest]: Turn any GitHub repository into a prompt-friendly text file, for inclusion in LLM's context. Available at: [https://gitingest.com/ gitingest.com]
 
* [https://github.com/cyclotruc/gitingest GitIngest]: Turn any GitHub repository into a prompt-friendly text file, for inclusion in LLM's context. Available at: [https://gitingest.com/ gitingest.com]
 
* [https://github.com/ScrapeGraphAI/Scrapegraph-ai ScrapeGraphAI: You Only Scrape Once]: web scraping python library that uses LLM and direct graph logic to create scraping pipelines for websites and local documents (XML, HTML, JSON, Markdown, etc.)
 
* [https://github.com/ScrapeGraphAI/Scrapegraph-ai ScrapeGraphAI: You Only Scrape Once]: web scraping python library that uses LLM and direct graph logic to create scraping pipelines for websites and local documents (XML, HTML, JSON, Markdown, etc.)
 
=Hardware=
 
==AI Acceleration Hardware==
 
* Nvidia GPUs
 
* [https://en.wikipedia.org/wiki/Tensor_Processing_Unit Google TPU]
 
* [https://en.wikipedia.org/wiki/Tesla_Dojo Tesla Dojo]
 
* [https://www.cerebras.net/ Cerebras]
 
* [https://www.graphcore.ai/ Graphcore]
 
* [https://www.untether.ai/ Untether AI]
 
* [https://sambanova.ai/ SambaNova Systems]
 
* [https://groq.com/ Groq]
 
* [https://deepsilicon.com/ Deep Silicon]: Combined hardware/software solution for accelerated AI ([https://x.com/sdianahu/status/1833186687369023550 e.g.] ternary math)
 
* [https://www.etched.com/ Etched]: Transformer ASICs
 
 
==Cloud Training Compute==
 
* [https://nebius.ai/ Nebius AI]
 
* [https://glaive.ai/ Glaive AI]
 
  
 
=See Also=
 
=See Also=
 
* [[AI agents]]
 
* [[AI agents]]
 
* [[AI understanding]]
 
* [[AI understanding]]
 +
* [[AI compute]]
 
* [[Robots]]
 
* [[Robots]]

Latest revision as of 09:43, 3 January 2025

LLM

Open-weights LLM

For Coding

Rankings: bigcode-models-leaderboard and CodeElo leaderboard

Reasoning

Cloud LLM

Multi-modal: Audio

Triage

Retrieval Augmented Generation (RAG)

Reviews

Analysis of RAG overall

Approaches

Open-source Implementations

Web-based Tools

  • SciSpace Chat with PDF (also available as a GPT).

Document Parsing

PDF Conversion

Automatic Optimization

Analogous to Gradient Descent

LLM for scoring/ranking

LLM Agents

Interfaces

Chatbot Frontend

Web (code)

Web (product)

Desktop GUI

Alternative Text Chatbot UI

  • Loom provides a sort of tree-like structure for LLM coming up with branched writings.
  • The Pantheon Interface is a new idea for how to interact with LLMs (live instance, code). In a traditional interaction, you prompt the bot and it replies in a turn-by-turn manner. Pantheon instead invites you to type out your thoughts, and various agents will asynchronously add comments or questions to spur along your brainstorming.

Conversational Audio Chatbot

Related Research

Commercial Systems

Speech Recognition (ASR) and Transcription

Lists

Open Source

In Browser

  • Whisper Timestamped: Multilingual speech recognition with word-level timestamps, running locally in browser

Phrase Endpointing and Voice Activity Detection (VAD)

I.e. how to determine when user is done talking, and bot should respond?

Audio Cleanup

  • Krisp AI: Noise cancellation, meeting summary, etc.

Text-to-speech (TTS)

Open Source

Cloud

Text-to-audio

Vision

Visual Models

Multi-modal Models (language-vision/video)

Optical character recognition (OCR)

Embedding

Time Series

Control

Forecasting

Data

Vector Database

Open Source

Commercial cloud

MySQL

Database with Search

Web Scraping

See Also