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Methods to Train a Chatbot Using RAG and Custom Data

? RAG, which stands for Retrieval-Augmented Generation, describes a process by which an LLM (Large Language Model) could be optimized by training it to tug from a more specific, smaller knowledge base relatively than its...

Biostate AI Raises $12M Series A to Train the ChatGPT of Molecular Medicine

Biostate AI, a molecular diagnostics startup combining next-generation RNA sequencing (RNAseq) with generative AI, announced today it has raised $12 million in a Series A funding round led by Accel. The round also saw...

The best way to Train LLMs to “Think” (o1 & DeepSeek-R1)

In September 2024, OpenAI released its o1 model, trained on large-scale reinforcement learning, giving it “advanced reasoning” capabilities. Unfortunately, the small print of how they pulled this off were never shared publicly. Today, nevertheless,...

MIT researchers develop an efficient strategy to train more reliable AI agents

Fields starting from robotics to medicine to political science are trying to...

A faster, higher approach to train general-purpose robots

Within the classic cartoon “The Jetsons,” Rosie the robotic maid seamlessly switches...

Causal AI at KDD 2024 — Why Corporations That Won’t Jump on the Causal Train Now Will Have a Harder Time Competing in 2025...

Constructing Causal Expertise is a Process, Not an Event13 min read·20 hours agoCausal modeling is an umbrella term for a big selection of methods that allow us to model the results of our actions...

Study: Transparency is commonly lacking in datasets used to coach large language models

As a way to train more powerful large language models, researchers use...

Customer Segmentation Project: Train, Test, Tweak, Repeat

I'm now bringing you a Data Science in Marketing — Customer Base Segmentation (clustering) project. It is a high-level project that might be applied in any company that needs to know the differences amongst...

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