280 stories
In modern B2B sales cycles, account executives juggle multiple conversations with a single prospect over weeks or months. From initial discovery calls to deep-dive technical reviews, every interaction builds a complex web of specific requirements, budget constraints, security concerns, and…
For a long time, every invoice my agent saw was the first invoice it had ever seen from that vendor. It read the PDF, pulled out the fields, made a call, and forgot everything the moment the page reloaded.
What Should an AI Coding Agent Remember? Building Persistent Domain Memory An AI coding agent can write code today, solve a debugging problem, and understand an architecture decision — and then appear to forget all of it when the next session begins. That creates a practical problem.
Large language models can answer questions, summarise documents, write code, and interact with external systems. But building a reliable AI application requires more than sending a prompt and displayi
Jev is a new AI that is making news and it doesn't chat. You can use it do small classification tasks. In this video, we take one real support ticket from a customer named Alan and follow it all the way through: what we send Jev, what comes back, and how the program decides what to do with the…
Nvidia Corp. today announced plans to spend an additional $150 billion on share buybacks through January 2028. The move represents the largest-ever expansion of a stock repurchase program. Furthermore, Nvidia plans to boost its current dividend of 25 cent per share.
Meta Platforms Inc. is launching a new business unit that will provide artificial intelligence services to enterprises. The Meta Enterprise Platform, as it’s called, will be led by longtime technology executive CJ Desai.
AI pioneer Fei-Fei Li just co-founded spatial AI research company World Labs in 2024. Now it's joining AMD
Because sometimes escaping your sandbox requires clicking a button
How calibrated decision models can handle high-frequency graph decisions while LLMs remain focused on reasoning, synthesis, and open-ended generation. The post GraphRAG with TypeSafe Jev: A System One Approach to Scalable Knowledge Graphs appeared first on Towards Data Science.
Every boundary you draw removes a signal your tooling was relying on. That is a structure problem, not a search problem. The post Good Architecture Deletes the Signals Your Agent Depends On appeared first on Towards Data Science.
Why I'd invest in post-training existing open-weight LLMs, with Fireworks' Ember-1 as an example of more token-efficient reasoning.
Jev AI | Jev vs LLMs | AI Engineer What you will learn? This video talks about a new AI model called Jev which has changed the way to work with LLMs especially for router/judge tasks. Jev acts as a decision model which can potentially replace LLMs in so many areas.
Inside a transformer, token index is a coordinate. Paragraph structure is what turns it into a metric. The post Your LLM Has a Curved Space of Paragraphs appeared first on Towards Data Science.
Cost per task is what AI work really costs. The formula, the hidden multipliers, a 20-task test to measure your own, and a dated real-world case study.
GPT means generative pre-trained transformer. How GPT differs from an LLM and ChatGPT, how it writes and learns, why models ship in tiers, and where GPT-6 fits.
A new AI model that doesn't want to CHAT with you… it just wants to DECIDE. 🤯 Meet JEV AI — a new approach from TypeSafe AI that challenges one of the biggest assumptions in today's AI industry: “Jev is not an AI that wants to talk to you; it is an AI designed to make decisions for software.” ⚠️…
Explore Voice AI agents: https://morak.ai Standard LLMs are great for writing text, but token-by-token generation introduces major latency when running high-frequency agent loops.
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