Course Overview:

Duration: 30 min

The ability to perform complex reasoning is one of the basic requirements for truly intelligent AI models. A new generation of LLMs, such as the o1 and o3 family of models from OpenAI or DeepSeek’s new models, defied many experts’ expectations by smashing reasoning benchmarks designed with AGI in mind. However, these new models are still traditional LLMs at their core.

What makes these models so different? How do they “reason”? What are the best usecases for them, and when is better to use a regular LLM such as GPT 4o or Llama? In this talk we will look beyond the hype, get an intuitive understanding of the way they work, and understand the pros and cons of this new crop of models.

The ability to perform complex reasoning is one of the basic requirements for truly intelligent AI models. A new generation of LLMs, such as the o1 and o3 family of models from OpenAI or DeepSeek’s new models, defied many experts’ expectations by smashing reasoning benchmarks designed with AGI in mind. However, these new models are still traditional LLMs at their core. What makes these models so different? How do they “reason”? What are the best usecases for them, and when is better to use a regular LLM such as GPT 4o or Llama? In this talk we will look beyond the hype, get an intuitive understanding of the way they work, and understand the pros and cons of this new crop of models.

Instructor:

Sara Zanzottera

Senior Developer at BNP Paribas

Sara worked on several GenAI projects such as autonomous voice agents, multimodal chatbots, RAG applications, and many more. She was also a core maintainer of Haystack, one of the most mature open-source LLM frameworks. She started her career at CERN as a Python software engineer on the particle accelerator’s control systems.
Sara Zanzottera, Senior Developer at BNP Paribas.

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