STT-LLM-TTS (websockets/asynchronous) Agent using Deepgram and Groq LPU's and Bert for Vector Embeddings and Simiarity search for RAG context management
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Updated
Sep 18, 2024 - Python
STT-LLM-TTS (websockets/asynchronous) Agent using Deepgram and Groq LPU's and Bert for Vector Embeddings and Simiarity search for RAG context management
⚡Powered by Groq LPUs and the latest (July 2024) Llama 3 Models to generate high-quality engineered prompts and datasets for fine-tuning AI models. Try this free Streamlit application designed to help you become a prompt engineering and fine-tuning pro.
An interactive platform to explore and experiment with various AI models powered by Groq. 🤖 Customize parameters, chat with AI, and export your conversations in multiple formats. 📄✨
CodeAggregatorAI is a powerful Groq, Llama3 and Streamlit application designed to aggregate an entire GitHub repository into a single, organized Markdown file, making it easy to feed to AI systems for tasks like code summarization, question answering, code generation and fine-tuning. 🧠
AI should be accessible to everyone, regardless of their technical background. The AI Engineering for Grandmas project is a step towards that vision. Gregory Kennedy
Speech to speech model for TTSH training
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