Deepseek R1 Review – Tool Agent Function Calling – Ep11

Episode 11: Deepseek R1 Tool Agent Function Calling Here is the Deepseek R1 Ollama model with function/tool calling abilitieshttps://ollama.com/MFDoom/deepseek-r1-tool-calling You can run these models on your laptop with Ollama or you can run them on Runpod GPU’s such as A100’s and LS40’s using Ollama.  Based on my testing the LS40 GPU worked pretty fast with […]

Episode 11-12 Creating Custom Apps with Flowise and Flutterflow

Episode 11-12: Creating Mobile Apps with Flutterflow and Flowise Resources Here are the links to the Flutterflow templates mentioned in The Video: ChatGPT in FlutterFlow template https://marketplace.flutterflow.io/item/P8iqP4HCF1Ob8m4cKneh AI Voice Assistant Project Link https://app.flutterflow.io/project/speech-to-text-8pdwat CORS Anywhere:  This is a proxy service that can help you resolve any Cross Origin errors while testing your app in the […]

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Episode 5-6 LLM Vector & Long Term Memory Resources

Episode 5-6: Managing Vector Databases & LLM Long Term Memory Here are the LLM Vectors and Long Term Memory Services Mentioned in The Video: Vector Admin: https://vectoradmin.com/https://github.com/Mintplex-Labs/vector-admin/tree/master Vector Store Databases: Chromahttps://www.trychroma.com/https://github.com/chroma-core/chroma Zep (Vector store + Memory) Remember that with Zep you may have to adjust the chunk size when embedding documents. https://www.getzep.com/https://github.com/getzep/zep QDranthttps://qdrant.tech/https://github.com/qdrant/qdrant Long Term Memory Upstashhttps://upstash.com/ […]

Working With Memory for LLM Chat Agents

Multi Prompt Chains allow you to create complex interactions inside of Flowise. Mastering Prompt Chaining for Advanced AI Applications Introduction: Prompt chaining is a powerful technique that allows developers to harness the capabilities of multiple language models and chains to create sophisticated AI-driven applications. This article explores the key concepts and steps involved in prompt […]

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