Articles tagged with “large-language-models”

An in-depth analysis of the $300B Oracle-OpenAI cloud computing deal. Learn about the financial risks, AI infrastructure build-out, and Stargate project goals.

A technical overview of Claude Opus 4.5, a state-of-the-art AI model for coding. Learn its capabilities for software development in healthcare and pharma.

An evidence-based review of NLP in regulatory labeling. Learn how AI assists medical writers in drafting Prescribing Information (PI/SmPC) and its limitations.

An in-depth technical analysis of Kimi K2, the trillion-parameter LLM from Moonshot AI. Learn about its Mixture-of-Experts (MoE) architecture and agentic AI foc

Learn to design a ChatGPT workshop for biotech professionals. This guide covers LLM fundamentals, practical use cases, and prompt engineering for life sciences.

Explore the top MCP servers for biotech. Learn how the Model Context Protocol connects AI agents and LLMs to critical databases for genomics and drug discovery.

Learn about FutureHouse, the nonprofit AI research lab. This guide explains its open-access platform and specialized AI agents: Crow, Falcon, Owl, and Phoenix.

Learn about Humanity's Last Exam (HLE), the advanced AI benchmark created to test true LLM reasoning with graduate-level questions that stump current models.

Learn about MMLU-Pro, the advanced AI benchmark designed to overcome MMLU's limitations. This guide explains its design, dataset, and impact on LLM evaluation.

An expert guide to the GPQA-Diamond benchmark, a set of Google-proof questions testing AI on graduate-level scientific reasoning. Learn its purpose and design.

An in-depth analysis of Veeva AI Agents, the agentic AI integrated into the Veeva Vault platform for life sciences. Learn about its architecture, use cases, and

An in-depth analysis of the HMMT25 AI benchmark for testing advanced mathematical reasoning in LLMs. See how models like Grok-4 perform on complex problems.

Learn what context engineering is and how it improves AI and LLM reliability. This guide explains key techniques like RAG and why this is the next step past pro

An overview of Anthropic's Claude Sonnet 4.5 model, its performance benchmarks, and new Claude Code 2.0 features like checkpoints, subagents, and IDE integratio

Learn about AI company Cohere, its enterprise focus, and its Command family of LLMs. This article details its history, key personnel, and model performance.

An analysis of China's open-source LLM landscape in 2025. Covers key models like Qwen, Ernie, and GLM from major tech firms and leading AI startups.

Learn the hardware requirements for running OpenAI's GPT-OSS-20B model locally. This guide covers GPU VRAM, CPU, system RAM, and other key components.

An examination of the five key technical innovations behind ChatGPT, from the Transformer architecture and pretraining to RLHF, hardware, and tokenization.

Learn methods for integrating ChatGPT with private enterprise data using Microsoft Azure. Covers security controls, compliance, and the Azure OpenAI Service.

Learn about mechanistic interpretability, a method to reverse-engineer AI models. This article explains how it uncovers causal mechanisms within neural networks.

An analysis of the core technologies and design philosophies of Wolfram Alpha (symbolic AI) and ChatGPT (generative AI), detailing their key differences.

An overview of OpenAI's open-weight GPT-OSS models. Examine their technical specifications, benchmark performance, and applications for reasoning in healthcare.

A technical guide to Reinforcement Learning from Human Feedback (RLHF). This article covers its core concepts, training pipeline, and key alignment algorithms.

Examines how an OpenAI AI system achieved a gold medal score at the 2025 IMO, detailing its performance, natural-language proofs, and AI reasoning ability.

Learn how regulatory affairs ensures product compliance in health industries. Explore the fundamental role of AI and LLMs in modern regulatory processes.

Explore ChatGPT as a Generative AI and Large Language Model. Learn its core GPT architecture, Transformer backbone, and how it processes language.

Explore the history and development of Anthropic's Claude 4 large language model, covering its evolution, key features, and advancements over prior versions.

This report details deploying LLMs on 24GB GPUs, covering model architectures, VRAM needs, and optimization methods for efficient local operation.