Sublime
An inspiration engine for ideas
Simple first, then powerful Teams at different sizes have different needs. Tools should be simple to get started with and grow more powerful over time.
linear.app • Principles & Practices
With one-off API integrations, every app must be connected with every other app in both directions. The number of integrations required for interoperability is equal to the maximal number of edges in a directed graph, or n * (n-1).
Gordon Brander • Composability with other tools
LangChain excels at chaining LLMs together using agents to delegate actions to models. Its use cases emphasize prompt optimization and context-aware information retrieval/generation; however, with its Pythonic highly modular interface and its huge collection of tools, it is the number-one tool to implement complex business logic.
Ben Auffarth • Generative AI with LangChain: Build large language model (LLM) apps with Python, ChatGPT, and other LLMs
Basically, the computer looked for a trendline that best fit the data, where by best fit I mean the trendline that minimizes the sum of squared error with the training data.
John W. Foreman • Data Smart: Using Data Science to Transform Information into Insight
2-5x faster 50% less memory local LLM finetuning
- Manual autograd engine - hand derived backprop steps.
- 2x to 5x faster than QLoRA. 50% less memory usage.
- All kernels written in OpenAI's Triton language.
- 0% loss in accuracy - no approximation methods - all exact.
- No change of hardware necessary. Supports NVIDIA GPUs since 2018+. Minimum CUDA Compute Cap
unslothai • GitHub - unslothai/unsloth: 5X faster 50% less memory LLM finetuning
🌳 Galileo LLM Studio
Algorithm-powered LLMOps Platform
Find the best prompt, inspect data errors while fine-tuning, monitor LLM outputs in real-time. All in one powerful, collaborative platform.
Testing framework for LLM Part
📦 Service Deployment - Ray Serve (https://lnkd.in/eAV-Y6RN)
🧰 Data Transformation - Ray Data (https://lnkd.in/e7wYmenc)
🔌 LLM Integration - AIConfig (https://lnkd.in/esvH5NQa)
🗄 Vector Database - Weaviate (https://weaviate.io/)
📚 Supervised LLM Fine-Tuning - HuggingFace TLR (https://lnkd.in/e8_QYF-P)
📈 LLM Observability - Weights & Biases Tra... See more
🧰 Data Transformation - Ray Data (https://lnkd.in/e7wYmenc)
🔌 LLM Integration - AIConfig (https://lnkd.in/esvH5NQa)
🗄 Vector Database - Weaviate (https://weaviate.io/)
📚 Supervised LLM Fine-Tuning - HuggingFace TLR (https://lnkd.in/e8_QYF-P)
📈 LLM Observability - Weights & Biases Tra... See more