In this tutorial, we lean hard on Together AI’s growing ecosystem to show how quickly we can turn unstructured text into a question-answering service that cites its sources. We’ll scrape a handful of live web pages, slice them into coherent…
Imagine a radiologist examining a chest X-ray from a new patient. She notices the patient has swelling in the tissue but does not have an enlarged heart. Looking to speed up diagnosis, she might use a vision-language machine-learning model to…
Reasoning language models, or RLMs, are increasingly used to simulate step-by-step problem-solving by generating long, structured reasoning chains. These models break down complex questions into simpler parts and build logical steps to reach answers. This chain-of-thought (CoT) approach has proven…
In the pretraining of LLMs, the quality of training data is crucial in determining model performance. A common strategy involves filtering out toxic content from the training corpus to minimize harmful outputs. While this approach aligns with the principle that…
In its latest executive guide, “Agentic AI – The New Frontier in GenAI,” PwC presents a strategic approach for what it defines as the next pivotal evolution in enterprise automation: Agentic Artificial Intelligence. These systems, capable of autonomous decision-making and…
Starting in July, MIT’s Shaping the Future of Work Initiative in the Department of Economics will usher in a significant new era of research, policy, and education of the next generation of scholars, made possible by a gift from the…
