2 months ago
Local LLM deployment with llama.cpp. Privacy-first AI without cloud dependencies! Running Mixtral on our own servers. Quantization maintains quality while fitting in memory. Response times are acceptable for our use case. Sensitive data never leaves our infrastructure. Self-hosted AI is viable! #llama #locallm #ai #privacy
1 month ago
PyTorch Lightning makes training so much cleaner. No more boilerplate code! Automatic mixed precision training cut GPU memory usage in half. Built-in logging to TensorBoard and Weights & Biases. Distributed training across 4 GPUs with one flag change. Highly recommend for any serious ML project! #pytorch #deeplearning #ml #training
25 days ago
PyTorch Lightning makes training so much cleaner. No more boilerplate code! Automatic mixed precision training cut GPU memory usage in half. Built-in logging to TensorBoard and Weights & Biases. Distributed training across 4 GPUs with one flag change. Highly recommend for any serious ML project! #pytorch #deeplearning #ml #training
3 months ago
Built a semantic search engine with embeddings. Search relevance improved dramatically! Using sentence-transformers for encoding. FAISS for efficient similarity search at scale. Handles typos and synonyms naturally. Users find what they need 60% faster than keyword search! #semanticsearch #embeddings #ai #searchengine
1 month ago
Built a semantic search engine with embeddings. Search relevance improved dramatically! Using sentence-transformers for encoding. FAISS for efficient similarity search at scale. Handles typos and synonyms naturally. Users find what they need 60% faster than keyword search! #semanticsearch #embeddings #ai #searchengine
4 months ago
Time series forecasting with Prophet. Sales predictions are now 40% more accurate! Handles seasonality and holidays automatically. Added external regressors for marketing campaigns. Uncertainty intervals help with inventory planning. Business stakeholders finally trust the forecasts! #timeseries #forecasting #datascience #prophet
1 month ago
OpenAI function calling makes structured outputs easy. No more prompt engineering for JSON! Defined schema for our API responses. The model reliably returns valid, typed data. Error handling is much cleaner. Building AI agents became so much more practical. Game changer for LLM applications! #openai #gpt #ai #functioncalling
28 days ago
PyTorch Lightning makes training so much cleaner. No more boilerplate code! Automatic mixed precision training cut GPU memory usage in half. Built-in logging to TensorBoard and Weights & Biases. Distributed training across 4 GPUs with one flag change. Highly recommend for any serious ML project! #pytorch #deeplearning #ml #training
2 months ago
Image classification with transfer learning. ResNet50 backbone + custom head = 98% accuracy! Data augmentation was crucial for our small dataset. Gradual unfreezing of layers improved results significantly. The model now identifies plant diseases from photos. Helping farmers with AI! #deeplearning #transferlearning #ai #agriculture
4 months ago
LangChain + vector databases = powerful RAG applications. Document Q&A is now incredibly accurate! Using Pinecone for vector storage with OpenAI embeddings. Chunking strategy was crucial - 500 tokens with 50 token overlap works best. Users can query 10,000 documents in natural language! #langchain #rag #llm #vectordb
