Ankit Patel

How AI Models Get Smarter

Andrej Karpathy says the hottest new programming language is English. Learn to master prompt engineering and build powerful, secure applications with today's smartest models.

How AI Models Get Smarter
#1about 2 minutes

How AI models are surpassing human experts

AI models are now exceeding human expert performance on comprehensive benchmarks like MMLU, which measures intelligence across various subjects.

#2about 5 minutes

The shift from labeled to unlabeled data training

The transformer architecture enabled a major shift from training on limited, human-labeled data to pre-training on vast amounts of unlabeled internet text using next-token prediction.

#3about 8 minutes

Refining models with post-training techniques

Pre-trained models are made useful for specific tasks like chatbots through post-training methods such as supervised fine-tuning and reinforcement learning from human feedback (RLHF).

#4about 3 minutes

Improving answer quality with reasoning models

Reasoning models improve accuracy by using test-time scaling, a process where the model prompts itself to double-check facts and logic before providing a final answer.

#5about 5 minutes

A practical workflow for AI application developers

Developers can build AI applications by starting with an API, using structured prompt engineering, and evaluating models in context rather than relying solely on benchmarks.

#6about 3 minutes

Implementing guardrails to secure your application

Protect your AI application from manipulation and misuse by implementing guardrails, detailed system prompts, and specialized guard models to enforce desired behaviors.

#7about 3 minutes

Building modular agentic applications with tools

Agentic applications use a modular architecture where each agent can use specific tools, often defined with natural language prompts, to perform complex tasks.

#8about 4 minutes

Q&A on model behavior and synthetic data

This Q&A covers why LLM responses are non-deterministic, how synthetic data is used for model distillation, and strategies for preventing hallucinations.

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Jobs that call for the skills explored in this talk.

ML Ops/AI engineer

ML Ops/AI engineer

Itility Academy
Eindhoven, Netherlands

Remote
Intermediate
Azure
DevOps
Python
Docker
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