End to End Generative AI Industry Projects on LLM Models with Deployment_Awesome LLM Projects
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Updated
Jan 24, 2025
End to End Generative AI Industry Projects on LLM Models with Deployment_Awesome LLM Projects
Gen AI Large Language Model Projects
Effortless AI-Powered Command Line Tool for Seamless Programming, Intelligent Debugging, and Instant Command Execution.
This project is a digital human that can talk to you and is animated based on your questions. It uses the Nvidia API endpoint Meta llama3-70b to generate responses, Eleven Labs to generate voice and Rhubarb Lip Sync to generate the lip sync.
META LLAMA3 GENAI Real World UseCases End To End Implementation Guide
Rag (Retreival Augmented Generation) Python solution with LLama3, LangChain, Ollama and ChromaDB in a Flask API based solution
The 🌟ANITA project🌟 *(Advanced Natural-based interaction for the ITAlian language)* wants to provide Italian NLP researchers with an improved model the for Italian Language 🇮🇹 use cases.
Create your own CUSTOMIZED Dolphin Mixtral 8x7b & Dolphin Llama 3 model using Ollama
Use your open source local model from the terminal
AI Writer for novel writers
Welcome to our AI Battle! Ask a question and let our two AI models battle it out
Terminal based LLM UI allowing multi-LLMs in chat and saving/loading (plus a streamlit version)
Experiments with the Meta-Llama-3-8B
LLaMA3-Quantization
یک دستیار هوش مصنوعی با #Llama3 و مدل 70b و همچنین بیشترین حالت توکن ۸۱۹۲ توکن در هر درخواست و با قابلیت شخصی سازی کاملا رایگان و بدون محدویت با استفاده از api سایت @FireworksAI_HQ ⭐️ سایت ⭐️ aigptcode.github.io/llama3
⚡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.
Nuxt 3 + LlamaIndex Starter
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. 🧠
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