talk-data.com talk-data.com

Filter by Source

Select conferences and events

People (444 results)

See all 444 →
Showing 3 results

Activities & events

Title & Speakers Event

Important: RSVP here to receive joining link. (rsvp on meetup will NOT receive joining link).

Description: AICamp London is pleased to announce a new monthly series: Agentic Hour which is a monthly virtual meetup to learn use cases, trends in agentic space and collaborate

What to Expect:

  • Practical use-cases: Live and hands-on demonstration
  • Interactive Q&A: Discussion and participate
  • Keep up to date: Trends and latest monthly update in Agentic space
  • Community Networking: Connect with fellow AI enthusiasts, share ideas, open-floor discussions and build valuable relationships.

Who should attend? - Tech professionals seeking to keep on the cutting edge of agentic AI. - Entrepreneurs and innovators looking to build AI-powered solutions

Agenda (GMT timezone):

  • 8:00pm\~8:25pm (25 mins) : What is AI agents and its possibilities
  • 8:25pm\~8:35pm (10 mins) : Q&A
  • 8:35pm\~8:45pm (10 mins) : Trends and what happened for the month in Agentic space
  • 8:45pm\~8:55pm (10 mins) : Open floor discussion

Leads/Instructors: Subash Natarajan / David Tang

Venue: virtual. You can join from anywhere. Also join us on Discord. Join Discord (select and join the "agentic-hour" channel)

Speakers/Topics: Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics

Sponsors: We are actively seeking sponsors to support AI developers community. Whether it is by offering venue spaces, providing food, or cash sponsorship. Sponsors will not only have the chance to speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 450K+ AI developers worldwide.

GenAI Study Groups (Virtual): AI Develop Tools
Trey Grainger – author

Apply cutting-edge machine learning techniques—from crowdsourced relevance and knowledge graph learning, to Large Language Models (LLMs)—to enhance the accuracy and relevance of your search results. Delivering effective search is one of the biggest challenges you can face as an engineer. AI-Powered Search is an in-depth guide to building intelligent search systems you can be proud of. It covers the critical tools you need to automate ongoing relevance improvements within your search applications. Inside you’ll learn modern, data-science-driven search techniques like: Semantic search using dense vector embeddings from foundation models Retrieval augmented generation (RAG) Question answering and summarization combining search and LLMs Fine-tuning transformer-based LLMs Personalized search based on user signals and vector embeddings Collecting user behavioral signals and building signals boosting models Semantic knowledge graphs for domain-specific learning Semantic query parsing, query-sense disambiguation, and query intent classification Implementing machine-learned ranking models (Learning to Rank) Building click models to automate machine-learned ranking Generative search, hybrid search, multimodal search, and the search frontier AI-Powered Search will help you build the kind of highly intelligent search applications demanded by modern users. Whether you’re enhancing your existing search engine or building from scratch, you’ll learn how to deliver an AI-powered service that can continuously learn from every content update, user interaction, and the hidden semantic relationships in your content. You’ll learn both how to enhance your AI systems with search and how to integrate large language models (LLMs) and other foundation models to massively accelerate the capabilities of your search technology. About the Technology Modern search is more than keyword matching. Much, much more. Search that learns from user interactions, interprets intent, and takes advantage of AI tools like large language models (LLMs) can deliver highly targeted and relevant results. This book shows you how to up your search game using state-of-the-art AI algorithms, techniques, and tools. About the Book AI-Powered Search teaches you to create a search that understands natural language and improves automatically the more it is used. As you work through dozens of interesting and relevant examples, you’ll learn powerful AI-based techniques like semantic search on embeddings, question answering powered by LLMs, real-time personalization, and Retrieval Augmented Generation (RAG). What's Inside Sparse lexical and embedding-based semantic search Question answering, RAG, and summarization using LLMs Personalized search and signals boosting models Learning to Rank, multimodal, and hybrid search About the Reader For software developers and data scientists familiar with the basics of search engine technology. About the Author Trey Grainger is the Founder of Searchkernel and former Chief Algorithms Officer and SVP of Engineering at Lucidworks. Doug Turnbull is a Principal Engineer at Reddit and former Staff Relevance Engineer at Spotify. Max Irwin is the Founder of Max.io and former Managing Consultant at OpenSource Connections. Quotes Belongs on the shelf of every search practitioner! - Khalifeh AlJadda, Google A treasure map! Now you have decades of semantic search knowledge at your fingertips. - Mark Moyou, NVIDIA Modern and comprehensive! Everything you need to build world-class search experiences. - Kelvin Tan, SearchStax Kick starts your ability to implement AI search with easy to understand examples. - David Meza, NASA

data data-engineering search AI/ML LLM RAG
O'Reilly AI & ML Books
Dave Colls – guest , David Tan – guest , Joe Reis – founder @ Ternary Data

Dave Colls and David Tan join me to chat about building effective machine learning teams, the challenges they face, the 7 deadly wastes in data and ML, writing a book, and much more.

Get their book here: https://amzn.to/3DS2OMp

AI/ML
The Joe Reis Show
Showing 3 results