Prompt engineering has become an essential skill for working effectively with large language models (LLMs) - guide on the best prompt engineering books
Google unveiled PaLiGeMMA 2 - a family of vision-language models (VLM)
NVIDIA’s announces DIGITS - its first personal AI computer
Projects like AYA Expanse are exploring multilingual capabilities
Combining local and cloud models to build a multimodal AI assistant answering complex image questions, with the option to run everything locally
Building deterministic GenAI chatbots in regulated industries
Importance of robust system memory as a key to personalized AI intelligence
Building reliable AI applications - LLM routing
Microsoft's framework for AI-driven cloud operations - AIOpsLab
Introducing Google's Vertex AI RAG engine
Enterprise RAG in Amazon Bedrock - learn details of Amazon Bedrock KnowledgeBases capability
Guide to using Snowflake Cortex for GenAI
Real-world applications and best practices using Azure AI and GPT-4
Developing an AI-powered smart guide for business planning & entrepreneurship
An experiment on integrating LLM into a console application
Comparing: Apache OpenNLP vs Stanford NLP for NLP
Supercharging RAG with MAS (Multi-Agent System)
The rise of reasoner models - scaling test-time compute
Advancing complex medical reasoning with HuatuoGPT-o1
Major LLMs have the capability to pursue hidden goals
And the future: