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Qdrant Hybrid Cloud is based on the open-source Qdrant vector similarity search engine and vector database written in Rust.
Let’s not make the same mistakes we did 10 years ago. It is possible to deploy large language models in the cloud more cost-effectively and with less risk.
With Visual Studio 2022 17.10 Preview 3, GitHub Copilot and GitHub Copilot Chat are combined into a single package for AI-powered code completions and explanations.
Generative AI was the dominant theme at Google Cloud Next ’24, as Google rolled out new chips, software updates for AI workloads, updates to LLMs, and generative AI-based assistants for its machine learning platform Vertex AI.
How to implement a local RAG system using LangChain, SQLite-vss, Ollama, and Meta’s Llama 2 large language model.
Go Developer Survey respondents who build AI-powered applications and services already use Go or want to migrate to Go for those workloads.
Google introduced an LLM inference engine, a library of reference diffusion models, and TPU optimizations for transformer models at Google Cloud Next ’24.
Other updates include grounding applications and virtual agents in Google Search via Vertex AI and Vertex AI agent builder.
Formerly Duet AI for Developers, Gemini Code Assist taps Google’s most powerful generative AI model for code completion, code generation, and code chat.
AI-powered assistant for Google Cloud can help design, deploy, and configure apps, troubleshoot issues, and optimize performance and costs.