Latest Llama 4 models on AWS, DeepSeek AI integration, Luma AI's Ray2, and new evaluation capabilities. Transform your AI ...

For years, retrieval-augmented generation (RAG) has been the go-to method for enhancing LLM performance, but its reliance on vector stores and preprocessing often comes with hefty expenses and ...

Consequently, Apple’s Zurich-based AI team is now developing a new Siri architecture. Bloombergs’s Mark Gurman reported this new system will be built on an LLM-based engine, aiming to make the ...

This project deploys a backend application using GitHub Actions CI/CD pipelines, Docker, Kubernetes, and Terraform on AWS. The pipelines handle building, pushing, deploying, and destroying ...

This difficulty arose within the confines of the existing ggml-org/llama.cpp project. The new architecture emphasizes model modularity; according to Ollama, the aim is to “confine each model’s ...

production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited ...

Meta has introduced KernelLLM, an 8-billion-parameter language model fine-tuned from Llama 3.1 Instruct, aimed at automating the translation of PyTorch modules into efficient Triton GPU kernels. This ...

In this tutorial, we demonstrate how to build a powerful and intelligent question-answering system by combining the strengths of Tavily Search API, Chroma, Google Gemini LLMs, and the LangChain ...