How Virgin Atlantic uses AI to enhance every step of travel
Virgin Atlantic CFO Oliver Byers shares how the airline is using AI to speed up development, improve decision-making, and elevate customer experience.
Like
0
Liked
Liked
Stop building RAG pipelines like it’s 2023
Author(s): AI Rabbit Originally published on Towards AI. Agentic Era If your architecture still looks like “User Query Vector DB LLM,” you aren’t building an AI application; you’re building a hallucination engine. The “naive” RAG era where we just dumped PDFs into Pinecone and prayed for the best is officially over. Here is the technical reality of RAG in 2025.The article discusses the evolution of Retrieval-Augmented Generation (RAG) pipelines, emphasizing the transition from outdated linear architectures to more […]
Like
0
Liked
Liked
We’re announcing new health AI funding, while a new report signals a turning point for health in Europe.
At the European Health Summit in Brussels, Greg Corrado, Distinguished Scientist at Google, released a new report authored by Implement Consulting Group and commissioned…
Like
0
Liked
Liked
The Streisand Effect and Nick Fuentes
submitted by /u/Knorssman [link] [comments]
Like
0
Liked
Liked
I Built an AI That Understands My Team’s Emotions From Our Commits and Messages
Author(s): Manash Pratim Originally published on Towards AI. I Built an AI That Understands My Team’s Emotions From Our Commits and Messages I built an AI that analyzes commits, PR reviews, and Slack messages to detect emotional drift and burnout in engineering teams. Using vector-drift embeddings and a fine-tuned LLaMA model, it learned to read the subtext beneath our communication and the results shocked me. Image generated using AIThe article discusses the creation of an AI designed to […]
Like
0
Liked
Liked
Update to GPT-5 System Card: GPT-5.2
GPT-5.2 is the latest model family in the GPT-5 series. The comprehensive safety mitigation approach for these models is largely the same as that described in the GPT-5 System Card and GPT-5.1 System Card. Like OpenAI’s other models, the GPT-5.2 models were trained on diverse datasets, including information that is publicly available on the internet, information that we partner with third parties to access, and information that our users or human trainers and researchers provide or generate.
Like
0
Liked
Liked
MIT researchers propose a new model for legible, modular software
Coding with large language models (LLMs) holds huge promise, but it also exposes some long-standing flaws in software: code that’s messy, hard to change safely, and often opaque about what’s really happening under the hood. Researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) are charting a more “modular” path ahead. Their new approach breaks systems into “concepts,” separate pieces of a system, each designed to do one job well, and “synchronizations,” explicit rules that describe exactly […]
Like
0
Liked
Liked
NeurIPS 2025 Best Paper Review: Qwen’s Systematic Exploration of Attention Gating
This one little trick can bring about enhanced training stability, the use of larger learning rates and improved scaling properties The post NeurIPS 2025 Best Paper Review: Qwen’s Systematic Exploration of Attention Gating appeared first on Towards Data Science.
Like
0
Liked
Liked
KV Cache Optimization via Multi-Head Latent Attention
Home Table of Contents KV Cache Optimization via Multi-Head Latent Attention Recap of KV Cache The Need for KV Cache Optimization Multi-Head Latent Attention (MLA) Low-Rank KV Projection Up-Projection Decoupled Rotary Position Embeddings (RoPE) RoPE in Standard MHA Challenges in MLA: The Need for Decoupling PyTorch Implementation of Multi-Head Latent Attention Multi-Head Latent Attention Toy Transformer and Inference Experiments and Analysis Summary Citation Information KV Cache Optimization via Multi-Head Latent Attention Transformer-based language models have long relied on […]
Like
0
Liked
Liked
OpenAI appoints Denise Dresser as Chief Revenue Officer
Denise Dresser is joining as Chief Revenue Officer, overseeing OpenAI’s global revenue strategy across enterprise and customer success. She will help more businesses put AI to work in their day-to-day operations as OpenAI continues to scale.
Like
1
Liked
Liked