12
5
student
Pakistan
2 years of experience
Student, Frontend, ML, AI, chatgpt ,whisper
Github guide is a chrome plugin which is using ai21 jurrassic 2 ultra llm model to generate code explanation of code snippets directly on github. and it generates multiple and comprehensive explanation for single code thus reducing the hustle of downloading code on our local system and run it. It automatically detects the github code pages and on one button click generate the code explanation it can generate explanation of any code code no matter what language and framework it is using making it easier for developers, including new contributors, to understand functionality and logic of various code snippets or files
this project consist of two features build on top of of open ai technology. One feature is to assist users in bug fixer in development board bug section so that when you are struct at any point bug fixer can fix your code or give suggestions. The 2nd feature is to assist the person and in adding modifying deleting boards and boards item just by speaking to assistantVoice assistant provides us the ability to talk to our tables Voice assistant takes instructions from your voice in English and apply them on boards in real time.Most of the time we donβt have our laptops to create boards or modify them and itβs really hard to deal with tables on small screen.
This project is an automated phone system that converts incoming voice calls into text and passes the transcribed message to an AI language model. The language model, or LLM, is connected to a vector database that contains information about a specific product. The LLM is powered by LangChain, a framework for developing applications powered by language models. LangChain connects the LLM to the vector database and allows it to interact with its environment. When a customer calls, their voice is transcribed into text in real-time and fed into the LLM. The LLM processes the text, retrieves relevant information about the product from the vector database, and generates a response using LangChain. This response is then converted back into speech by using AI Eleven labs api and played to the customer over the phone. This system allows for efficient and accurate handling of customer inquiries without the need for human intervention.
ποΈ 48 hours of building (24-26th March) π» Create innovative new apps with OpenAI's latest ChatGPT and Whisper APIs π‘ Learn from top AI professionals βοΈ Combine new GPT 3,5 Turbo and Whisper APIs to build your AI app π±βπ» Now is the time to register and let's get started!
π₯ 48 hours of creation π¦Ύ Build with Open Source AI models π Tutorials and mentors to support you π€ Collaborate with the community of AI creators!
ποΈ This will be a 10-day virtual hackathon from June 28 to July 7 π» Access AI21 Labs' state-of-the-art language models to build innovative applications π‘ Meet and learn from AI21 Labs and Lablab experts π₯ Join the community and find your team π Prizes and awards of up to $9500 API credits + $3500 cash β Receive a certificate of completion for submission π±βπ» Sign up now! It's free!