ascopubs.org

Enhancing Oncology-Specific Question Answering With Large Language Models Through Fine-Tuned Embeddings With Synthetic Data

Enhancing Readability of Lay Abstracts and Summaries for Urologic Oncology Literature Using Generative Artificial Intelligence: BRIDGE-AI 6 Randomized Controlled Trial The recent advancements of ...
InfoQ

Building Embedding Models for Large-Scale Real-World Applications

Sahil Dua discusses the critical role of embedding models in powering search and RAG applications at scale. He explains the ...
Tech Xplore on MSN

A new method to steer AI output uncovers vulnerabilities and potential improvements

A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside these models. The new method could lead to more reliable, more efficient, ...
InfoQ

Jina AI's Open-Source Embedding Model Outperforms OpenAI's Ada

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. In this episode, Thomas Betts chats with ...
InfoWorld

Large language models: The foundations of generative AI

Large language models evolved alongside deep-learning neural networks and are critical to generative AI. Here's a first look, including the top LLMs and what they're used for today. Large language ...
Geeky Gadgets

How to use Embeddings in RAG with Llama-Index

In the realm of natural language processing (NLP), the concept of embeddings plays a pivotal role. It is a technique that converts words, sentences, or even entire documents into numerical vectors.
Geeky Gadgets

AI Embeddings explained in depth

Tired of sifting through pages of irrelevant search results? What if you could find exactly what you’re looking for with just a few keystrokes? Enter AI embeddings—a fantastic option in the world of ...
ascopubs.org

Enhancing Oncology-Specific Question Answering With Large Language Models Through Fine-Tuned Embeddings With Synthetic Data

Machine Learning Model Integrating Computed Tomography Image–Derived Radiomics and Circulating miRNAs to Predict Residual Teratoma in Metastatic Nonseminoma Testicular Cancer The recent advancements ...