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ChatGPT is awesome, but what's next?
Mathis Lucka shares his advice on how to build real applications using large language models. The following topics are covered: making the LLM interact with your data, reducing hallucinations, validating the quality of your application against the end-user expectations, and more.
On-demand webinar
Watch nowUsing metrics and user feedback to improve your NLP system
Evaluating NLP systems is one of the most important steps in the NLP development cycle and often the most complicated part of deploying a viable solution in an enterprise environment. Learn when metrics are informative, understand your system performance and incorporate user feedback.
On-demand webinar
Watch nowBuilding applications with LLM-based agents
In this webinar, Julian explains the concept of 'Agents,' walks you through code examples, and shows you how to create your own applications with custom 'Tools' using Haystack.
On-demand webinar
Watch nowPrompting LLMs Using Haystack
New LLMs are great at understanding more complex prompts. Haystack provides all the necessary tools to experiment with and create better prompts. Learn how to create complex prompts, and integrate them into your pipelines.
On-demand webinar
Watch nowFastest way to ship NLP to production
The process of building NLP-enabled applications seems to be stuck where software development was 30 years ago. Long development cycles, little user input, bad tools and a high risk of not delivering value. Our head of product—Mathis, shares his experience in building enterprise NLP applications.
On-demand webinar
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