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How Reinforcement Learning Is Used by Large Language Models and Why You Should Care

Reinforcement learning is key to how LLMs like ChatGPT improve and avoid mistakes -- but it also introduces potential bias. We break down how it works and why understanding it matters for anyone using or building with AI.

More Reasoners for More Data Types: RelationalAI

Finding a way to supercharge generative AI by embedding reasoning engines and knowledge graphs into Snowflake.

Using AI To Solve the First-Mile Data Problem: Adeptia

No-code doesn't just help IT; it also helps business users overcome foundational data challenges, and unlock AI's full enterprise potential.

No Security, No AI: Protect AI

Safeguarding enterprise AI from dev to production requires a layered security platform.

Using AI To Make Sense of Structured & Unstructured Data: SparkBeyond

Traditional machine learning tools have limits when it comes to getting insights out of data; that's where AI comes in.

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Understanding AI Large Language Model Transformers: an Analogy for Mere Mortals

A factory analogy demystifies how Transformers power AI like GPT -- perfect for non-data scientists seeking to grasp the basics.

AI Agent Rollouts that Don't Fail: SymphonyAI

Most agentic AI deployments will fall flat this year -- except for the enterprises with the right data building blocks.

Have AI, Will Partner: Crusoe

Why vertical integration and strategic partnerships are key to making AI accessible, scalable and profitable.

Highly Secure Identity Management with AI: BeyondTrust

When the AI bubble bursts, identity security will be one of the use cases that survives.

Making AI Enterprise-Ready: AnswerRocket

"We are going to see [AI models] learn to do things we did not expect it to do."

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