Tuana Celik On Linkedin Llm Haystack Python
Tuana çelik Haystack A few weeks ago i built a custom haystack 2.0 component for the unstructured.io connectors (github, discord and google drive). Meet haystack 2.0, a more flexible, customizable llm framework. multi modal components and function calling with the new gemini integrations for haystack. learn how to use the new zephyr models in haystack 2.0 pipelines with the upcoming huggingfacelocalgenerator.
Tuana çelik On Linkedin Llm Haystack Python Previously i've worked at weaviate, a vector database and haystack (by deepset) which is an open source framework to build applications with llms, where i set up the community, helped release haystack 2.0 etc. Create agentic, context engineered ai systems using haystack’s modular and customizable building blocks, built for real world, production ready applications. Developer advocate at deepset working on our open source nlp framework haystack. interested in nlp, open source, semantic search and so on :). Explore the world of large language model (llm) based agents in this 35 minute sponsor presentation from pycon us. discover how to develop smart nlp driven applications using haystack, as presented by tuana celik from deepset.
Pycon Us Talk Building Llm Based Agents How To Develop Smart Nlp Developer advocate at deepset working on our open source nlp framework haystack. interested in nlp, open source, semantic search and so on :). Explore the world of large language model (llm) based agents in this 35 minute sponsor presentation from pycon us. discover how to develop smart nlp driven applications using haystack, as presented by tuana celik from deepset. Haystack is an open source ai framework in python, recently redesigned in an opinionated way, that takes the approach of building ai applications as a directed (cyclic) graph. Tuana works as a developer advocate for haystack, the open source llm framework by deepset. she helps other engineers and the nlp community understand the latest approaches to build llm applications, and in particular how they can do so with haystack. Everything is a graph, including llm applications! (and that's handy) this was my talk at pycon 2024 where i talk about our graph approach to building ai applications, especially since the release of haystack 2.0. Tuana is a developer advocate at deepset, where she focuses on the open source nlp framework: haystack. with a degree in computer science from the university of bristol, she first started her career as a software engineer.
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