As AI developers, we are constantly exploring better ways to build intelligent systems that cater to real-world needs. A significant transition is taking place in Generative AI from large-scale, closed-source models to smaller, open-source alternatives...

Large Language Models (LLMs) are transforming the way organizations handle complex tasks...

In today's era dominated by large language models, the quality of prompts is crucial for effective utilization of these powerful tools...

In this session, we'll explore everything about LLM-based agents, starting from the basics and going all the way to building a full system...

State-space models (SSMs) are a powerful mathematical framework for describing dynamic systems using sets of first-order differential or difference equations governed by state variables...

Superposition is a phenomenon where an entity exists in multiple states simultaneously. But what does this have to do with LLMs?...

This session provides an in-depth look at the architecture of multi-agent systems for code generation, emphasizing practical solutions to common data modeling challenges...

In this lecture, we will explore the innovative ways in which generative AI and text-to-code models can be utilized to make data more accessible for individuals who may not be familiar with traditional SQL querying...

Semantic search transforms traditional search by understanding the meaning behind queries to deliver more accurate and relevant results...

With Generative AI a lot seems possible. You’ll have an idea, test it out in ChatGPT, and low and behold the answer seems great...

Using an out-of-the-box LLM embedding is increasingly common nowadays. However, integrating these embeddings into scalable systems presents challenges due to their typically large size...

The Booking AI Trip Planner combines the power of AI with Booking.com’s travel expertise, offering travelers a comprehensive, one-stop solution to enhance and expedite the trip planning process...

This session will introduce an internal platform we created to democratize workflow optimizations across the SDLC in AT&T...

In this session, we will explore how to achieve state-of-the-art inference using TensorRT LLM and NIM...

The adoption of GenAI for various use cases is on the rise, with its power exponentially increasing with each new implementation...

In this session we will dive into the practical realities of deploying a Retrieval-Augmented Generation (RAG) application...

Break free from conventional chat interfaces and discover the power of streaming, multi-interface experiences...

Efficiently handling production incidents is crucial for our business...

Many companies and businesses today seek the ability to interact with their data using Retrieval-Augmented Generation (RAG) solutions...

Have you had a conversation with an LLM? Has the first conversation blown your mind? But what happened after the third conversation? The tenth? As the number of conversations grows, we start paying attention to the inherent challenges LLMs pose, such as hallucinations...

Let's face it: most LLM App PoCs are a disaster waiting to happen. Hallucinations, inconsistency, and scalability nightmares abound. Enter the LLM Triangle - a framework for building reliable, production-ready AI systems...