Built and deployed a small experimental app called TalkSyQL. It lets you speak (describe) or type what data query you want, choose a DB style, and generates SQL using AI.
https://t.co/3yeQgQ17bZ
Still an early phase, but I’d really appreciate honest feedback on the tool.
#GenAI
Vision Language Model (LFM2 series) by @liquidai is very powerful and faster compared to other small VLMs.
Check in detail at - https://t.co/065pRXFX2H
#liquidai#genai#vlm#slm#medium
Check out this article to know about Ollama and Nexa AI for running Generative AI models in local machines:
https://t.co/S6psSGYnsU
#ollama#nexaai#GenAI#learning#medium
🔥My go-to recommendation for LLM finetuning is using @UnslothAI , Here @amrstech explains how to leverage @GoogleColab to fine-tune llama 3.1 8b and push to @huggingface hub!
👇🏾 link!
Worked on an Interview Assistant app.
Groq made life easier.
Easy to access Llama3-8b model without deployments (via Groq API Inference)
`pip` it with flask and groq !
#python#flask#groq#interview#assistant@GroqInc
Demo Video Link Attached - https://t.co/4yKbjXnSZ3