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- Cerebral Valley – Week of January 13th 🗓
Cerebral Valley – Week of January 13th 🗓
The latest in AI Products, Events, and Jobs
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Events List
A curated list of upcoming AI events (view all events).
Featured Events:
🗓️ Monday, January 13th
📍 Seattle, WA
Building LLM-based applications is exciting, but keeping them reliably performant in production is a challenge—even for the best teams. How do you track user interactions? Diagnose issues? Prevent regressions when prompts or models change? At Weights & Biases, we’ve worked with hundreds of companies to tackle questions like these.
Join us for this exclusive workshop, where we’ll guide you through building and evaluating an AI application using a proven, future-proof workflow, learning how to:
Log and analyze system behavior.
Collect and leverage user feedback.
Design evaluations to identify and resolve issues.
Confidently fine-tune and optimize performance.
No prior experience with evaluations? No problem. Just bring your laptop, and leave with practical skills to future-proof your AI applications.
Register
🗓️ Wednesday, January 15th
📍 San Francisco, CA
AI After Hours is an exclusive networking experience founded by Hyperbolic bringing together influential minds in AI.
Ring in the new year and welcome the golden age for tech.
The Future of AI Is Collaborative. Join Us.
Enjoy 6x AI keynotes drinks and light bites with Hyperbolic, LMSYS, HuggingFace, and Quora.
Register
🗓️ Wednesday, January 15th
📍 San Francisco, CA
curious about how new machine learning models are finding their way into clinical workflows, biosensors, and healthtech?
join us for a series of demos that remove the hype of ai and focus on active solutions being implemented today.
demo spots will be prioritized for those with current traction, and everyone is invited to share during the open mic.
Register
🗓️ Wednesday, January 22nd
📍 San Francisco, CA
Join Pinecone (https://www.pinecone.io) and Weights & Biases (https://wandb.ai) as we hack on the newest tech principles together
What we're doing tonight:
Building high-performing Retrieval-Augmented Generation (RAG) systems requires understanding how to evaluate and improve their components. Join Pinecone and Weights & Biases for a hands-on session focused on techniques to design, evaluate, and optimize these RAG workflows.
While finance will be highlighted as an application area, the techniques discussed will apply broadly across use cases. Attendees will gain skills necessary for building and refining production-ready RAG pipelines, with workflows suited for challenging data-driven applications.
This session is designed for GenAI application builders seeking hands-on experience with the tools and techniques that drive success in developing RAG systems.
Register
🗓️ Thursday, January 23rd
📍 San Francisco, CA
RAG (Retrieval Augmented Generation) pipelines enable your LLMs to access real-time and proprietary data for more accurate responses. In this workshop, we'll build a RAG chat app that uses sensitive documents in Google Drive, and top it off with identity + access control and learn how to defend against prompt injection, data leaks, and malicious actors.
Agenda:
Build a secure RAG chat app that uses real-time, proprietary data safely
Defend AI apps against prompt injections and other OWASP top 10 LLM threats
Integrate identity and access control to protect sensitive data in RAG pipelines and AI agents.
Register
Planning an upcoming event? Submit an event to our AI Event Feature.
Job Spotlight
Full Time | Hybrid | NYC
Develop new generative AI tooling for our customers
Interact regularly with customers in our shared Slack channels, fixing issues and making improvements directly in response to customer requests
Play an active role in determining our roadmap and strategy for new and existing features
Estimated base salary $150K – $250K • Offers Equity
Apply here.
Final Note…
You’ve reached the end of our CV AI newsletter.
Sponsors: If you would like to promote a launch, event or fundraise to our community of AI founders, enterprises and investors, please get in touch at [email protected] or DM us on Twitter / X.