AI (Artificial Intelligence)

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Scientists just created female clones of male mice

Scientists have deliberately turned male mouse embryos into females for the first time. A team based in Japan used a CRISPR-based approach to remove the Y chromosome from male cells and create female clones of male mice.  “No one has done this before,” says Monika Ward, a reproductive biologist at the University of Hawaii, who

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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

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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

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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

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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.

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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.

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