Jupyeter Notebooks that demo Generative AI concepts
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Updated
Jul 28, 2023 - Jupyter Notebook
Jupyeter Notebooks that demo Generative AI concepts
Ice Breaker is comprehensive fullstack app leveraging generative AI and LangChain to find LinkedIn profiles and generate engaging ice breakers. LangChain ReAct agents ensure accurate URL retrieval and JSON cleaning, identifying a summary, facts, topics, and ice breakers. The frontend is built with HTML/CSS, and Flask powers the backend development.
LangChain and openAi integration
In LangChain for LLM Application Development, you will gain essential skills in expanding the use cases and capabilities of language models in application development using the LangChain framework. Includes code compatible with Ollama, ChromaDB and Pinecone.
Project No. 3 in the Head First Android Development course
Probabilistic Robotics - Problem 2 of chapter 2, Simulator of Markov Chain
Just a fork to have a backup of chainlist since it's not longer going to be available. This is more for personal use than anything else, but feel free to contribute.
The chatbot converts user input into a SQL query using GPT-4, executes it against a SQL database, and returns results in natural language. This involves data processing, interaction with the OpenAI API, and integration within a Streamlit application.
SomeCoin CryptoCurrency Future For now its EC-20 Token on Ropsten Test Network
A code solution of mine written in MokoM (invented programming language) to a popular game problem called "Bejeweled Chains" consisting of a square/rectangular grid of different-colored jewels. The game is played by swapping the positions of jewels that are horizontally or vertically adjacent to create chains of three or more jewels of the same …
Jupyter Notebooks of Course of LangChain for LLM Application Development by DeepLearning.AI
REST service that makes it easy to interact with blockchain nodes built using Tetcore FABRIC framework.
Learning and Implementing INGESTION, RETRIVAL-AUGMENTED-GENERATION. LLMS | PINECONE | LANGCHAIN | LANGSMITH |
Run Wasm Light Clients of any Tetcore based chain directly in your browser.
Explored the power of LangChain Expression Language (LCEL) ! Dived into LCEL enabled seamless chaining of components, making AI workflows more efficient. Learnt about Runnables, async operations, and how to implement streaming for real-time performance.
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