AI Builders LLM Sessions Going on Now, AI Agent Selection, the Top Language Models for 2025, and AI Project Portability
Open Data Science Conference (ODSC)
The leading applied data science and AI conference, with 4 global events and nearly 180 meetups worldwide every year.
Next week’s AI Builders Summit theme is RAG!
There’s still time to catch today’s LLM sessions! You can also sign up for next week’s RAG talks and tutorials.
Topics include:
Interested in sharing your thoughts about AI adoption, the tools you use, and your concerns about the field? Complete this survey and let your voice be heard! We’ll share the results in a few weeks. You’ll also be entered for a chance to win awesome prizes, including tickets to ODSC East 2025 or the month-long AI Builders Summit.
In this podcast, Datasaur’s Ivan Lee provides a roadmap for leveraging SLMs, improving model flexibility, and deploying AI effectively in 2025 and beyond.
There are plenty of AI agents out there, but which is right for your needs? Here’s an experiment to test which is right for you.
Here, we’ll explore how agentic systems can assess and mitigate risks in the insurance domain, and we’ll show you how to build a prototype step by step.
Both small and large language models have their pros and drawbacks, so when should you use one over the other, and what are the top LLMs and SLMs right now?
In this tutorial, we provide a detailed walkthrough of fine-tuning and serving Llama 3.1 8B Instruct model with the CoNLLpp dataset for a Name Entity Recognition (NER) use case using Predibase’s efficient fine-tuning stack.
To ensure that AI projects can adapt to advancements, organizations must prioritize AI project portability.
ODSC Highlights
Representing names like Shopify, AWS, MIT, Harvard, and other AI powerhouses, our first round of ODSC East 2025 speakers are worth paying attention to.
Here are all the ways that you can get involved with ODSC East 2025 in Boston, including speaking, volunteering, and partnering with us.
Need to find a data scientist, AI engineer, or another professional in the field? Post a job on our jobs board and find your perfect candidate.
Industry, Opinion, Career Advice
While its usage by students carries plagiarism and ethical risks, AI shows significant promise elsewhere. One of the most beneficial is reducing school dropout rates.
领英推荐
Waste seeps from every corner of the chain, from bathroom sinks to diesel-powered fleets. What can AI do to lower carbon footprints and make supply chains greener?
ODSC East 2025–50% Off Ends Soon!
We’re thrilled to announce the first 40 ODSC East 2025 speakers! With pros from Shopify, AWS, MIT, Harvard, Hugging Face, and plenty more, you won’t want to miss this all-star lineup?—?with more to come!
Data Science & AI News
According to OpenAI founder Sam Altman, AI Agents are rapidly evolving and are poised to revolutionize workplaces in the near future.
Meta Platforms is facing allegations of using pirated versions of copyrighted books to train its AI systems.
The U.S. Food and Drug Administration has introduced draft guidance aimed at bolstering the credibility of AI models used in drug and biological product development.
In a study from Sweden’s Karolinska Institutet, AI has demonstrated superior accuracy in detecting ovarian cancer compared to human doctors.
DDN, a global leader in AI and data intelligence solutions, announced a $300 million investment from Blackstone Tactical Opportunities at a valuation of $5 billion.
New Podcast Episode?—?2025 Large Language Model Playbook: SLMs, Model Flexibility, and Deployment Best Practices with Ivan Lee
In this episode, Datasaur’s Ivan Lee dives into the 2025 Large Language Model Playbook, discussing Small Language Models, model flexibility, and deployment strategies.
Upcoming Webinars, Meetups, and Ai+ Live Training Sessions
Tuesday, January 21st, 12:00 PM ET
Discover how to harness the capabilities of Gemini 2.0 Flash, the fastest and most versatile multimodal generative AI model from Google DeepMind. In this hands-on session, you’ll learn step-by-step how to use the Gemini API and the Google Gen AI SDK for Python to build advanced AI applications.
Foundation Models for Time-Series Tuesday, January 28th, 12:00 PM ET
This presentation delves into the cutting-edge landscape of foundation models for time-series analysis. We will explore specialized neural architectures designed to unravel the complex temporal dynamics of sequential data and demonstrate how open-source models can unlock powerful predictive capabilities and insights.