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An operating system (OS) is the fundamental software that acts as an intermediary between computer hardware and user applications. It manages hardware resources such as the CPU, memory, storage, and input/output devices, while providing essential services like process scheduling, file management, security, and user interfaces. Without an OS, users would need to interact directly with […]
Every day, your organization produces a mountain of words. Support tickets, contracts, clinical notes, customer reviews, emails, call transcripts. Roughly 80% of all enterprise data exists as unstructured text like this — and until recently, almost none of it could be analyzed at scale. It just sat there.Natural Language Processing changed that. And in 2026, with large language
NLP in 2026: Trends, Use Cases & Future of Language AI | Shaip Read More »
AI coding startup Cognition reportedly already in talks to raise at $40B valuation TechCrunch
In this tutorial, we build an end-to-end post-training pipeline for a compact instruction-tuned language model using AllenAI’s Open Instruct framework. We move through three major training stages: Supervised Fine-Tuning, Direct Preference Optimization, and Reinforcement Learning with Verifiable Rewards using GRPO, while adapting the original multi-GPU Tulu 3 stack to fit within a 16 GB runtime.
Why it matters: Cut AI training energy without losing accuracy: compare mixed precision, quantization, pruning, distillation, and carbon aware scheduling with real numbers.
An understanding of maths can be crucial to judging if the tech is telling you the right thing
Business and technology leaders need no convincing that the time of agentic AI is here. Organizations are rapidly adopting agents, and few executives doubt the technology’s potential to transform work. But many organizations find that realizing the desired return on investment (ROI) from AI hinges on having the right foundation, with inadequate infrastructure and data
Before Full Agentic RAG: Know How You Decide, and the Parsing Methods You Pick From Towards Data Science
Prof Stephen Blundell on the plight of the Rutherford Appleton Laboratory, and Peter Forbes on bacteriophages and AIMuch of the commentary about the UK Research and Innovation science funding cuts has centred around the decision to close Jodrell Bank, with the iconic Lovell telescope rightly identified as a “source of wonder and pride” (Letters, 31
Why it matters: See how a semantic knowledge graph for LLM agents slashes hallucinations, adds memory, and lifted answer accuracy from 17 to 54 percent in tests.
