MCP: Build Rich-Context AI Apps with Anthropic(deeplearning.ai) Connecting AI applications to external systems to bring rich context to LLMs has often meant writing custom integrations for each use case. This has fragmented AI development between teams within a company and across the industry.
Ask HN: How do you use local LLMs?(ycombinator.com) What applications(as in use cases, not in software names) have you found for local LLMs that you use yourself on a daily basis, and which LLMs do you use?
10 points by Haeuserschlucht 127 days ago | 7 comments
TaskExplorer(github.com/DavidXanatos) Task Explorer is a powerful task management tool designed not only to monitor running applications but to provide deep insight into what those applications are doing.
Ask HN: Examples of agentic LLM systems in production?(ycombinator.com) Now that everybody and their mother are fuzzing in social media about LLM agents and agentic LLM systems (or something), are there actual examples of live applications that are based on an agentic LLM process flow?
145 points by impish9208 276 days ago | 178 comments
An In-Depth Guide to Contrastive Learning: Techniques, Models, and Applications(myscale.com) Traditionally, machine learning (ML) (opens new window) can be classified broadly into two types: supervised and unsupervised learning (opens new window). In supervised learning, we have some data with labels and these labels are used to train the model. For example, using the (labelled) images of different objects to train an image classifier.