Voice AI expertise has skilled unprecedented progress in 2025, with revolutionary breakthroughs in real-time conversational AI, emotional intelligence, and voice synthesis. As enterprises more and more undertake voice brokers and customers embrace next-generation AI assistants, staying knowledgeable in regards to the newest developments has turn out to be essential for professionals throughout industries. The worldwide…
OpenAI has formally launched Realtime API and gpt-realtime, its most superior speech-to-speech mannequin, shifting the Realtime API out of beta with a collection of enterprise-focused options. Whereas the announcement marks actual progress in voice AI know-how, a better examination reveals each significant enhancements and protracted challenges that mood any revolutionary claims. Technical Structure and Efficiency…
Massive language fashions (LLMs) now stand on the middle of numerous AI breakthroughs—chatbots, coding assistants, query answering, inventive writing, and far more. However regardless of their prowess, they continue to be stateless: every question arrives with no reminiscence of what got here earlier than. Their mounted context home windows imply they’ll’t accumulate persistent data throughout…
We start this tutorial by designing a modular deep analysis system that runs instantly on Google Colab. We configure Gemini because the core reasoning engine, combine DuckDuckGo’s Instantaneous Reply API for light-weight internet search, and orchestrate multi-round querying with deduplication and delay dealing with. We emphasize effectivity by limiting API calls, parsing concise snippets, and…
Desk of contents What is Agentic RAG? Use Cases and Applications Top Agentic RAG Tools & Frameworks (2025) Open-source frameworks Vendor/managed platforms Key Benefits of Agentic RAG FAQ 1: What makes Agentic RAG different from traditional RAG? FAQ 2: What are the main applications of Agentic RAG? FAQ 3: How do agentic RAG systems improve…
On this tutorial, we construct a sophisticated AI agent utilizing Semantic Kernel mixed with Google’s Gemini free mannequin, and we run it seamlessly on Google Colab. We begin by wiring Semantic Kernel plugins as instruments, like internet search, math analysis, file I/O, and note-taking, after which let Gemini orchestrate them by way of structured JSON…
We start this tutorial by displaying how we are able to mix MLE-Agent with Ollama to create a completely native, API-free machine studying workflow. We arrange a reproducible atmosphere in Google Colab, generate a small artificial dataset, after which information the agent to draft a coaching script. To make it strong, we sanitize widespread errors,…
Latest advances in giant language mannequin (LLM)-powered diagnostic AI brokers have yielded methods able to high-quality scientific dialogue, differential prognosis, and administration planning in simulated settings. But, delivering particular person diagnoses and remedy suggestions stays strictly regulated: solely licensed clinicians will be accountable for crucial patient-facing choices. Conventional healthcare usually employs hierarchical oversight—an skilled doctor…
On this tutorial, we implement a sophisticated graph-based AI agent utilizing the GraphAgent framework and the Gemini 1.5 Flash mannequin. We outline a directed graph of nodes, every accountable for a selected perform: a planner to interrupt down the duty, a router to manage circulation, analysis and math nodes to offer exterior proof and computation,…
Retrieval-Augmented Era (RAG) has emerged as a cornerstone method for enhancing Massive Language Fashions (LLMs) with real-time, domain-specific data. However the panorama is quickly shifting—at this time, the commonest implementations are “Native RAG” pipelines, and a brand new paradigm referred to as “Agentic RAG” is redefining what’s potential in AI-powered info synthesis and determination help….