Beyond Scarcity: How LLM-Driven Synthetic Data Generation is Reshaping AI
Author(s): Burak Degirmencioglu Originally published on Towards AI. In the world of artificial intelligence, data is the new oil. But what happens when that oil is scarce, locked behind privacy walls, or simply too expensive to acquire? This post explores a revolutionary …
Advanced Concepts in LLM Alignment: AI for a Human-Centric Future
Author(s): Burak Degirmencioglu Originally published on Towards AI. Reference As Large Language Models (LLMs) become increasingly integrated into our daily lives, ensuring they act in our best interests is no longer a theoretical concern but a critical engineering challenge. The field of …
How Do We Align Large Language Models with Human Values?
Author(s): Burak Degirmencioglu Originally published on Towards AI. As Large Language Models (LLMs) continue to demonstrate incredible potential across countless applications, from complex coding tasks to creative writing, a critical engineering challenge has emerged: LLM Alignment. This is the process of ensuring …
The Next Step in Agentic AI: Context Engineering?
Author(s): Burak Degirmencioglu Originally published on Towards AI. Our interactions with artificial intelligence have become much more complex and dynamic than simply giving commands. We now expect them not only to answer our questions but also to complete multi-step tasks, use tools, …
Agent Protocols
Author(s): Burak Degirmencioglu Originally published on Towards AI. The rapid advancements in the field of artificial intelligence are moving beyond intelligent systems that work in isolation, opening the door to complex ecosystems of AI agents that can communicate and collaborate with one …
LLM Jailbreaking: What Can We Discover Beyond the Rules?
Author(s): Burak Degirmencioglu Originally published on Towards AI. In this article, we will examine LLM Jailbreaking step-by-step, including what LLM Jailbreaking is, its classifications, its place in the context of security, LLM Jailbreaking techniques, real-world examples, and OWASP risks. As a reader, …
LLM Multi-GPU Training: A Guide for AI Engineers
Author(s): Burak Degirmencioglu Originally published on Towards AI. To keep up with the rapid evolution of large language models (LLMs), multi-GPU training has become a crucial necessity for AI engineers. As models scale from billions to trillions of parameters, a single GPU …
A Guide to AI Agent Evaluation and Observability
Author(s): Burak Degirmencioglu Originally published on Towards AI. Goal-driven agentic systems, equipped with large language models and external tools, are designed to perform complex tasks with limited human supervision. This transformative capability, however, introduces significant challenges. Unlike traditional software, an AI agent’s …
LLM Evaluation: The Crucial Step for AI Success
Author(s): Burak Degirmencioglu Originally published on Towards AI. The capabilities of Large Language Models (LLMs) are advancing every day, creating a revolutionary impact in the field of natural language processing. But how do we know if a model is “successful”? This is …
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