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README.md

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@@ -44,8 +44,8 @@ Therefore:
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#### Technical Decisions
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Don't make technical decisions just based on what majority follow, market hype, and main trends.., instead, decide based on multiple factors, such as:
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[Pros/Cons - Review Comparison]() - [Requirements]()- [Best fit / Integration](),
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[Problem solves]() - [Feasable / Accessible]() - [High Rated]() - [Popularity](),
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[Pros/Cons - Review Comparison]() - [Requirements]()- [Best fit / Integration](),
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[Problem solves]() - [Feasable / Accessible]() - [High Rated]() - [Popularity](),
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[Focus / Goals]() - [Priority / Importance]() - [Stable Eco-system]()
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and finalize your decision considering:
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- `Main Priority` - `Best fitting` - `Feasable? Can be done? (adopt / implement / execute)`
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## [AI](#ai)
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### General
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- [Prompt/Cloud](): `Open AI chatGPT` - `Google Gemini` - `Groq`
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- [Prompt/Local](): `native device` - `chat with RTX` - `Jan` `Ollama`
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- [Platform / API](): `Nvidia NIM`, `Claude`, `OpenAI`, `Google`, `x.ai`
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- [Inference Providers](): `Fireworks (best value)` - `Together.Ai` - `Replicate` - `OctoAI`
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- [Browser/Runtime (client/local)](): `Ollama` - `Web LLM` - `Web-AI` - `MLC-LLM` - `Jan/Nitro`
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- [Docs / Github Repo / Research](https://github.com/codefuse-ai/Awesome-Code-LLM) (<-open link) codefuse-ai/Awesome-Code-LLM
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- [AI Strategy Model HL](): `Local First` `Specializing` `Agents Orchestration` > `Unify/Re-iterate cycles`
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- [AI Strategy Process LL](): `in-context learning` > `fine-tuning EiF` > `Map categories` > `Rag cycle` > `objective structure` `solution/Output`
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[Prompt/Cloud](): `Open AI chatGPT` - `Google Gemini` - `Groq`
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[Prompt/Local](): `native device` - `chat with RTX` - `Jan` `Ollama`
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[Platform / API](): `Nvidia NIM`, `Claude`, `OpenAI`, `Google`, `x.ai`
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[Inference Providers](): `Fireworks (best value)` - `Together.Ai` - `Replicate` - `OctoAI`
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[Browser/Runtime (client/local)](): `Ollama` - `Web LLM` - `Web-AI` - `MLC-LLM` - `Jan/Nitro`
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[Docs / Github Repo / Research](https://github.com/codefuse-ai/Awesome-Code-LLM) (<-open link) codefuse-ai/Awesome-Code-LLM
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[AI Strategy Model HL](): `Local First` `Specializing` `Agents Orchestration` > `Unify/Re-iterate cycles`
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[AI Strategy Process LL](): `in-context learning` > `fine-tuning EiF` > `Map categories` > `Rag cycle` > `objective structure` `solution/Output`
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<br>
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### LLM - AI models
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- [Top Rank](): `Gemini-2.x/exp`, `GPT4-o4-x`, `Claude-3.5-Opus`, `Llama-3.2-instruct`
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- [Full Opensource](): `Phi4` -- `Mixtral MoE` -- `Command R+` -- `DBRX`
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- [Local Run](): Desktop: `Qwen 2.5(md/lg)` - `Phi-4(md)` - `Llama-3.2-8B instruct`
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- [Local Run](): Mobile: `Phi-4 (sm)` - `Qwen 2.5 (xs,sm)`
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- [Vision/LM](): `PaliGemma` combined visual & text LLM - fine-tunes well in specific use-cases
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[Top Rank](): `Gemini-2.x/exp`, `GPT4-o4-x`, `Claude-3.5-Opus`, `Llama-3.2-instruct`
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[Full Opensource](): `Phi4` -- `Mixtral MoE` -- `Command R+` -- `DBRX`
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[Local Run](): Desktop: `Qwen 2.5(md/lg)` - `Phi-4(md)` - `Llama-3.2-8B instruct`
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[Local Run](): Mobile: `Phi-4 (sm)` - `Qwen 2.5 (xs,sm)`
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[Vision/LM](): `PaliGemma` combined visual & text LLM - fine-tunes well in specific use-cases
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### Dev Environments
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[Hybrid Local](): VS-Code + `Github Copilot` - Pros: `Free` + `Local` + `Cloud`
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### Tools, Audio, Video
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[Autonomous Agents](): `long-term mem`: [MemGPT]() - [CrewAI]() -- `toolchain`: [Langchain]() - `AutoGPT`
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[Science/Research]() _ use `NotebookLM` + `Gemini 2.x exp` + speciality tools/models
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[Autonomous Agents](): long-term mem: `MemGPT` - `CrewAI` -- toolchain: `Langchain` - `AutoGPT`
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[Science/Research](): `NotebookLM` + `Gemini 2.x exp` + speciality tools/models
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[Audio](): text to music: `Udio` _ TTS: `Parler TTS` `PlayHT` `ElevenLabs` -- speech to text: `Deepgram`
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[Image](): `DALL-E`, `Stable Diffusion`, `Imagen` - APP-(user): `MidJourney`, `FreePik`, `Adobe Firefly`
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[Video creation](): `Veo2` - `Sora` - `Mochi(local)`
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[Dev Tools](): Local Hub: `Ollama UI` `LM-studio` `Jan` - interact with websites: `GPT Crawler`
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<br>
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### Best youtube AI Channels - <sub> *`links to Youtube`* </sub>
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### Best youtube AI Channels - <sub> *`links open Youtube channel`* </sub>
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` Concept/Reserch` - [bycloud](https://www.youtube.com/@bycloudAI)
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` Tutorial/Practical ` -- [Ai Jason](https://www.youtube.com/@AIJasonZ/videos)
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` Tutorial/Practical` -- [Ai Jason](https://www.youtube.com/@AIJasonZ/videos)
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` News/Info/General` -- [Matthew Berman](https://www.youtube.com/@matthew_berman/featured)
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` Research/Scientific` -- [Code your own AI](https://www.youtube.com/@code4AI/videos)
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<br>

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