Evaluating LLM applications, especially those using RAG (Retrieval Augmentation Generation), is critical but often overlooked. Without proper evaluation, it is nearly impossible to confirm whether your system’s retriever is valid, whether the LLM’s answers...
SwiReasoning is a decoding time frame that lets the reasoning LLM decide when Think in potential space and when Write clear ideasuse Block-wise confidence estimated from the entropy trend in the next token distribution....
Google Artificial Intelligence Research The team introduces Speech to Retrieval (S2R). S2R maps speech queries directly to embeddings and retrieves information without first converting speech to text. The Google team positioned S2R as an...
In this tutorial, we’ll explore how to secure AI agents in a practical, hands-on way using Python. We focus on building an intelligent and responsible agent that adheres to security rules when interacting with...
As AI agents evolve beyond simple chatbots, new design patterns have emerged to make them more capable, adaptable, and intelligent. These agent design patterns define how agents think, act, and collaborate to solve complex...
Sentient AI has been released ROMA (Recursive Open Meta-Agent)an open source meta-agent framework for building high-performance multi-agent systems. ROMA structures agent workflows as Hierarchical recursive task tree: The parent node decomposes a complex goal...
In this tutorial, we’ll explore the power of self-supervised learning using the Lightly AI framework. We first build the SimCLR model to learn meaningful image representations without labels, and then use UMAP and t-SNE...
Major developments are about to change Artificial Intelligence in Healthcare. Researchers are at Stanford Universityin partnership with ETH Zurich and technology leaders including google research and Amazon have launched OpenTSLMa novel family of time...
How powerful can sparsity be? 8.3B-Parameters Ministry of Education and ~1.5B active paths Deliver service on your phone without impacting latency or memory? Liquid AI has been released LFM2-8B-A1Ba small Mix of Experts (MoE)...
What if you could tune multi-modal retrieval (transaction accuracy, latency, and index size) at serving time by simply selecting the number of learnable meta-tokens to use (e.g., 1→16 for queries, 1→64 for candidates)? Introduction...