Decoding AI Series | Session 2
Unleashing the power of Large Language Models, Part 1 — Direct interactions
Ready to dive deeper into the world of Large Language Models (LLMs)? This webinar, the second in our Decoding AI series, builds on our previous session on LLM fundamentals. We’ll explore advanced LLM capabilities and their practical applications in enterprise settings.
This event was livestreamed and recorded
Why watch
- Gain in-depth understanding of effective techniques for direct interaction with LLMs.
- Learn how to use LLMs to work with unstructured data.
- Discover creative ways to combine LLM skills for innovative solutions.
- Explore the potential of LLMs in tackling Dark Data challenges.
- Engage directly with our AI experts to address your specific LLM implementation questions and challenges.
Key takeaways
- Advanced prompting techniques for direct interaction with LLMs.
- Insights into Natural Language Processing (NLP) capabilities of LLMs, including translation, summarisation, and sentiment analysis.
- Strategies for using LLMs to extract structured data from unstructured sources.
- Understanding Dark Data and how LLMs and Multimodal Large Language Models (MMLMs) can address its risks and opportunities.
Featured speaker
Gil Fernandes, AI Solutions Engineer
Who should watch
This webinar is designed for AI specialists, data scientists, CTOs, and technology leaders looking to maximise the potential of LLMs in their organisations. Business leaders will also benefit from the discussion, especially on what the ‘art of the possible’ is on applying LLMs and on getting value from the Dark Data buried in your business.
Prerequisites
This webinar builds on our previous Fundamentals of Large Language Models session. While not mandatory, familiarity with basic LLM concepts will be useful. You can watch a replay of Decoding AI: Session 1 webinar here.
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Upcoming webinar
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Ready to dive deeper into the world of Large Language Models (LLMs)? This webinar, the second in our Decoding AI series, builds on our previous session on LLM fundamentals.
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