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Kvs satishTraining Diffusion Models with Reinforcement Learning We deployed 100 reinforcement learning (RL)-controlled cars into rush-hour highway traffic to smooth congestion and reduce fuel consumption for everyone. Our goal is to…
Kvs satishPersonalized recommendations have become a vital component of many digital systems, aiming to surface content, products, or services that align with user preferences. The process relies on analyzing past behavior,…
Kvs satishWhat is an AI Agent? An AI Agent is an autonomous software system that can perceive its environment, interpret data, reason, and execute actions to achieve specific goals without explicit…
Kvs satishIn this tutorial, we build a complete multi-agent research team system using LangGraph and Google’s Gemini API. We utilize role-specific agents, Researcher, Analyst, Writer, and Supervisor, each responsible for a…
Kvs satishPLAID is a multimodal generative model that simultaneously generates protein 1D sequence and 3D structure, by learning the latent space of protein folding models. The awarding of the 2024 Nobel…
Kvs satishRecent advances in Large Language Models (LLMs) enable exciting LLM-integrated applications. However, as LLMs have improved, so have the attacks against them. Prompt injection attack is listed as the #1…
Kvs satishThe Growing Threat Landscape for LLMs LLMs are key targets for fast-evolving attacks, including prompt injection, jailbreaking, and sensitive data exfiltration. It is necessary to adapt defense mechanisms that move…
Kvs satishLLMs have made impressive strides in generating code for various programming tasks. However, they mostly rely on recognizing patterns from static code examples rather than understanding how the code behaves…
Kvs satishThe development of large-scale language models (LLMs) has historically required centralized access to extensive datasets, many of which are sensitive, copyrighted, or governed by usage restrictions. This constraint severely limits…
Kvs satishIn this tutorial, we’ll explore how to implement Chain-of-Thought (CoT) reasoning using the Mirascope library and Groq’s LLaMA 3 model. Rather than having the model jump straight to an answer,…
