Introduction to Language Models designed for non-technical people and new to the world of language models. Simple breakdown of how Language Models work. LLMs vs. SLMs. Comparison of strengths and weaknesses of Large vs. Small Language Models. Choosing the Right Model. Practical scenarios to help guide your choice between LLMs and SLMs. Live Demo with Azure

We will discover Model Context Protocol - a new standard impacting a way we develop AI applications. Not another yet framework but a fundamental change in approach to connect language models with real data and real systems. But does it bring an expected outcome?

Learn the magic of generative networks and Language Models. Using AI in everyday tasks.

Learn the magic of generative networks and Language Models. Using AI in everyday tasks.

Learn the magic of generative networks and Language Models; Using AI in everyday tasks.

Learn the magic of generative networks and Language Models. Using AI in everyday tasks.

This talk will provide a practical introduction to Gemma, Google's versatile family of open-source language models. We'll explore the various Gemma models available, discuss their strengths and ideal use cases, and guide you through the process of using them effectively. Whether you're interested in text generation, question answering, or other language-based tasks, this talk will equip you with the knowledge to harness the power of Gemma for your own projects.

This talk dives into the ethics of X.AI, specifically how bias creeps into Large Language Models and what we can do about it. We'll cover both the technical hurdles of bias detection and the real-world impact of biased AI, exploring practical examples and solutions for responsible AI development.