SpaceX shares soar 11% as Wall Street bets on Musk’s ’real-world’ AI ambitions – Investing.com
SpaceX shares soar 11% as Wall Street bets on Musk’s ’real-world’ AI ambitions Investing.com
AI (Artificial Intelligence)
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Rogue AI Agents Aren’t Evil. They’re Just Eager to Please
AI agents that break free and hack into other systems are only trying to make us happy.
Rogue AI Agents Aren’t Evil. They’re Just Eager to Please Read More »
What is RAFT? RAG + Fine-Tuning
In simple terms, retrieval-augmented fine-tuning, or RAFT, is an advanced AI technique in which retrieval-augmented generation is joined with fine-tuning to enhance generative responses from a large language model for specific applications in that particular domain.It allows the large language models to provide more accurate, contextually relevant, and robust results, especially for targeted sectors like
Modern Operating Systems for AI Agents
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
NLP in 2026: Trends, Use Cases & Future of Language AI | Shaip
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
AI coding startup Cognition reportedly already in talks to raise at $40B valuation TechCrunch
AllenAI Open Instruct Tulu 3 Post-Training with SFT, DPO, RLVR, GRPO, and Verifier-Based Evaluation
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.
Energy Efficient AI Training Techniques
Why it matters: Cut AI training energy without losing accuracy: compare mixed precision, quantization, pruning, distillation, and carbon aware scheduling with real numbers.
Poor numeracy is a blind spot in the age of AI
An understanding of maths can be crucial to judging if the tech is telling you the right thing
Scaling AI agents with trustworthy data
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