Build conversational AI applications in python!
SF
Joined June 2024
- Tweets8
- Following3
- Followers185
- Likes14
Chainlit retweeted
🚀 New @LiteLLM Integration 🚀
Track & log all your LiteLLM calls with @literalai in just 2 lines of code!
LiteLLM allows you to interact with 100+ LLMs (@OpenAI, @AnthropicAI, @MistralAI, etc.) seamlessly using a consistent OpenAI-compatible format, either use their python SDK or their proxy server.
We also added an example using the LiteLLM proxy within a @chainlit_io app 🎉
Chainlit retweeted
Build your own Reflection Playground with @chainlit_io, serving @mattshumer_ new Reflection-70b model!
🤗 @huggingface for the weights
🔧 @baseten for inference
🖥️ @nvidia TensorRT
🌐 @chainlit_io for app deployment
Chainlit retweeted
🎉 Introducing @literalai Prompt and LLM A/B Testing
📈 Gradually roll out new prompts or LLMs in production and compare performance metrics, reducing risk
🚀 Product teams can independently deploy prompt or LLM updates, speeding up iteration and freeing engineering resources
Chainlit retweeted
Literal AI is now in public beta 🎉
Literal AI is the multimodal LLM app observability and evaluation solution for developers and product owners.
Supports uses cases from simple LLM calls to complex agentic systems across various modalities: text, image and audio.
🧵
Chainlit retweeted
Build a Blazing-Fast RAG Chatbot with Llama3 on @GroqInc, @chainlit_io, and @llama_index ⚡️
This is a neat resource by Jayita B. on teaching you how to not only build an advanced RAG indexing/query pipeline, but also turn it into a full-stack application with rapid response times.
1. Define an indexing pipeline with sentence splitting, title extraction, Gemini embedding
2. Define a query pipeline with Groq as the LLM and chat engine to maintain conversation history
3. Build a neat full-stack app with @chainlit_io
Check it out: itsjb13.medium.com/building-…
Chainlit retweeted
Chainlit is built for multi modality but was not supporting voice use cases … until today!
@chainlit_io developers can now access user audio streams and build voice-based LLM applications 🔥
🧵
Chainlit retweeted
Great example by @HoloMarkeD on how GenAI can improve learning with personalized lessons tailored to your abilities and experiences. Delivered via an interactive user interface using @chainlit_io @langchain @AnthropicAI 🔥
Chainlit retweeted
Announcing Chainlit 🔗💡- Build & share Python LLM apps in minutes⚡️
Chainlit is an open-source 🐍 Python package that lets you create ChatGPT-like UIs on top of your existing code effortlessly!
`pip install chainlit`
github.com/Chainlit/chainlit
🧵👇
