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+Update: AI section
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Peyman-Borhani committed Dec 20, 2024
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[Pros/Cons - Review Comparison]() - [Requirements]()- [Best fit / Integration](),
[Problem solves]() - [Feasable / Accessible]() - [High Rated]() - [Popularity](),
[Focus / Goals]() - [Priority / Importance]() - [Stable Eco-system]()
and finalize your decision considering:
and finalize your decision considering:
- `Main Priority` - `Best fitting` - `Feasable? Can be done? (adopt / implement / execute)`
- `Work type`: startup/job/personal - `State`: start / scale / remake / migrate / available.
- `Impact`: team, users, cost, dev-cycle, integration, stablity, milestone, completion.
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## [AI](#ai)

### General
- [Chat/Prompt](): Online: `Groq` - `ChatGPT` - Local: `chat with RTX` - `Jan`.
- [Platform / API](): `Nvidia NIM`, `OpenAI`, `Clarifi(api)`, `Google`, `Microsoft`, `x.ai`
- [Inference Providers](): `Fireworks (best value)` - `Together.Ai` - `Repliccate` - `OctoAI`
- [Chat/Prompt](): Online: `Groq` - `ChatGPT` - `Gemini` - Local Apps: `chat with RTX` - `Jan`.
- [Platform / API](): `Nvidia NIM`, `Copilot(api/free/hybrid)`, `OpenAI api`, `Google`, `x.ai`
- [Inference Providers](): `Fireworks (best value)` - `Together.Ai` - `Replicate` - `OctoAI`
- [Browser/Runtime (client/local)](): `Web LLM` _ `Web-AI` _ `MLC-LLM` _ `Jan/Nitro`
- [AI Strategy](): `first local`, `Specific`, `in-context learning > fine-tuning EiF to usecase > RAG`
- [AI Strategy Model HL](): `First local` `Specialization` `Agents Orchestration` > `Unify/Re-iterate cycles`
- [AI Strategy Process LL](): `in-context learning` > `fine-tuning EiF` > `Map categories` > `Rag cycle` > `objective structure` `solution/Output`
<br>

### AGI - LLM models
- [Top Ranked](): `Llama-3.1-405B+ instruct`, `Claude-3-Opus`, `GPT4-o-next`, `Grok`.
- [Full Opensource](): `Phi3` _ `Mixtral MoE` _ `Command R+` _ `DBRX`.
- [Run Locally](): Mobile: `Phi3-mini-3.8B` _ Desktop: `Phi-3-small` - `Llama-3.1-8B instruct`.
### LLM models
- [Top Ranked](): , `Gemini-exp`, `Llama-3.x-instruct`, `Claude-3.5-Opus`, `GPT4-o-next`, `Grok`
- [Full Opensource](): `Phi4` _ `Mixtral MoE` _ `Command R+` _ `DBRX`.
- [Run Locally](): Free+Local+Server: `Github Copilot` _ Mobile: `Phi4-mini - Qwen 2.5 (sm)`
- [Run Locally](): Desktop: `Qwen new` - Phi-4-medium` - `Llama-3.2-8B instruct`.
- [Vision/LM](): `PaliGemma` combined visual+text LLM + can fine-tune well for specific use-case.

<sub> * `AGI`(Artificial General Intelligence) .... `MoE`(Mixture of Experts) </sub>
<br>

### Tools, Audio, Video...
- [Autonomous Agents]() _ `long-term mem`: [MemGPT]() - [CrewAI]() _ `+toolchain`: [Langchain]() - `AutoGPT`
- [Audio](): text to music: `Udio` _ TTS: `Parler TTS` `PlayHT` `ElevenLabs` _ speech to text: `Deepgram`
- [Audio](): text to music: `Udio` _ TTS: `Parler TTS` `PlayHT` `ElevenLabs` -- speech to text: `Deepgram`
- [Image](): `DALL-E`, `Stable Diffusion`, `Imagen` - APP-(user): `MidJourney`, `FreePik`, `Adobe Firefly`
- [Visual input](): `Grok vision` - [Video creation](): `Sora ` most realistic videos bythe mean time.
- [Code assist](): `Github Copilot` - `GPT-4 Chat/API` - [open-source](): `Open Devin` - `Devika`.
- [Dev Assist](): - Local AI Hub: `Ollama UI` `LM-studio` `Jan` - interact with a website: `GPT Crawler`
- [Video creation](): `Veo2` - `Sora` - `Mochi(local)` -- [Visual input](): `Grok vision`
- [Code assist](): `Github Copilot (free)` - `Qwen 2.5 (local model)` -- `Claude Chat/API (paid)`
- [Code assist](): open-source: `Open Devin` - `Devika` -- interact on websites: `GPT Crawler`
- [Dev Assist](): - `Github Copilot (free)` - Local AI Hub: `Ollama UI` `LM-studio` `Jan`
<br>

Best youtube AI Channels: [bycloud](https://www.youtube.com/@bycloudAI) - [Ai Jason](https://www.youtube.com/@AIJasonZ/videos) - [Matthew Berman](https://www.youtube.com/@matthew_berman/featured)
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