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Thomas Wolf’s blog post “The Einstein AI Model” is a must-read. He contrasts his thinking about what we need from AI with another must-read, Dario Amodei’s “Machines of Loving Grace.”1 Wolf’s argument is that our most advanced language models aren’t creating anything new; they’re just combining old ideas, old phrases, old words according to probabilistic […]
Let’s be real: Building LLM applications today feels like purgatory. Someone hacks together a quick demo with ChatGPT and LlamaIndex. Leadership gets excited. “We can answer any question about our docs!” But then…reality hits. The system is inconsistent, slow, hallucinating—and that amazing demo starts collecting digital dust. We call this “POC purgatory”—that frustrating limbo where […]
This post is divided into three parts; they are: • Fine-tuning DistilBERT for Custom Q&A • Dataset and Preprocessing • Running the Training The simplest way to use a model in the transformers library is to create a pipeline, which hides many details about how to interact with it.
Retrieval augmented generation (RAG) encompasses a family of systems that extend conventional language models , large and otherwise (LLMs), to incorporate context based on retrieved knowledge from a document base, thereby leading to more truthful and relevant responses being generated upon user queries.
On March 27, the results of the first clinical trial for a generative AI therapy bot were published, and they showed that people in the trial who had depression or anxiety or were at risk for eating disorders benefited from chatting with the bot. I was surprised by those results, which you can read about…
Following up on previously announced plans, Nvidia said that it has open sourced new elements of the Run:ai platform, including the KAI Scheduler.
OpenAI plans to release its first open-weight AI model since 2019 as economic pressures mount from competitors like DeepSeek and Meta, marking a significant strategic reversal for the company behind ChatGPT.
In a move that surprised the tech industry Monday, OpenAI said it has secured a monumental $40 billion funding round led by SoftBank, catapulting its valuation to an unprecedented $300 billion -- making it the largest private equity investment on record. The landmark investment underscores the escalating significance of AI, and also signals a shift in the enterprise technology landscape.
AI PowerSuit, Runway, OpenAI, Apple doctor, AI guides, ChatGPT prompt, and more...
Gartner forecasts large growth in global AI spending as enterprises shift focus to commercial tools away from custom projects that often fail.
Runway's new Gen-4 AI creates consistent characters across entire videos from a single reference image, challenging OpenAI's viral Ghibli trend and potentially transforming how Hollywood makes films.
Professor of media technology honored for research in human-computer interaction that is considered both fundamental and influential.
Brendan McGetrick, the creative director of Museum of the Future, came to Austin, Texas, with a traveling exhibit for the first time recently.
The model’s architecture integrates keyword spotting directly into the transcription process, allowing Jargonic to maintain accuracy...
Vibe coding and AI-assisted development are two trendy terms in today's tech jargon.
Web automation, procrastination coach, AI memes, learn AI, and more...
While quantum computers will be able to break traditional encryption, we’re still a long way from “No More Secrets” decryption.
Ana Trišović, who studies the democratization of AI, reflects on a career path that she began as a student downloading free MIT resources in Serbia.
Enterprises adopting AI aren’t just signing a “utility contract” for revenue growth; they’re entering an “emotional contract.”
This post is divided into three parts; they are: • Using DistilBERT Model for Question Answering • Evaluating the Answer • Other Techniques for Improving the Q&A Capability BERT (Bidirectional Encoder Representations from Transformers) was trained to be a general-purpose language model that can understand text.
Deep Dive: AI websites, xAI + X, vibe coding, image gen, AI agents, and more...
Gemini 2.5 Pro marks a significant leap forward for Google in the foundational model race – not just in benchmarks, but in usability. Based on early experiments, benchmark data, and hands-on developer reactions, it’s a model worth serious attention from enterprise technical decision-makers, particularly those who’ve historically defaulted to OpenAI or Claude for production-grade reasoning.
Experian's enterprise AI framework offers valuable lessons for businesses seeking to scale beyond proof of concept.
Researchers from Singapore Management University developed a new domain-specific language for agents to remain reliable.
The researchers compared two versions of OLMo-1b: one pre-trained on 2.3 trillion tokens and another on 3 trillion tokens.
Gemini 2.5 Pro stands out with its massive context window, impressive multimodal reasoning and detailed reasoning chain.
The first clinical trial of a therapy bot that uses generative AI suggests it was as effective as human therapy for participants with depression, anxiety, or risk for developing eating disorders. Even so, it doesn’t give a go-ahead to the dozens of companies hyping such technologies while operating in a regulatory gray area. A team…
This post is divided into three parts; they are: • Origination of the Transformer Model • The Transformer Architecture • Variations of the Transformer Architecture Transformer architecture originated from the 2017 paper "Attention is All You Need" by Vaswani et al.
New approach flips the script on enterprise AI adoption by using input data you already have for fine-tuning instead of needing labelled data.
OpenAI limits, AI agents, Perplexity, write 3x faster, AI's mind, and more...