Articles tagged with “large-language-models”

Analyze 2026 strategies for AI-assisted 510(k) submissions. Covers FDA guidance, generative AI tools, and mandatory human oversight protocols.

Analyze ChatGPT Deep Research features and RAG technology. Understand agentic workflows, automated literature reviews, and accuracy limitations.

Examine AI hallucinations in business. Learn why LLMs fabricate data, understand the risks, and review technical prevention strategies like RAG.

Learn prompt engineering strategies for business teams. Covers zero-shot, few-shot, and chain-of-thought techniques to optimize AI workflows without coding.

Compare 2026 enterprise AI models. Evaluate ChatGPT, Claude, Copilot, and Gemini on security, context windows, and performance benchmarks for business adoption.

Explore AI in regulatory writing: analysis of drafting efficiency, clinical study reports, and key risks like hallucinations and data privacy compliance.

Learn how meta prompting enables LLMs to generate structural scaffolds. Explore recursive techniques, category theory foundations, and efficiency benchmarks.

Explore the state of AI agents for B2B productivity. This 2026 analysis covers agentic AI, enterprise adoption, economic impact, and Anthropic's solutions.

Analysis of how Large Language Models (LLMs) automate clinical evidence collection for HTA economic dossiers. Covers systematic reviews, data extraction, and ch

Learn how Generative AI (GenAI) applies to Medical Affairs in pharma. This guide covers key use cases, compliance guardrails, and the risks of using LLMs.

Learn how AI and LLMs can build a "Second Brain" for pharma R&D. This guide covers creating a searchable institutional memory to overcome data silos in drug dis

An in-depth guide for bench scientists on using LLM copilots in research. Explore real-world applications, performance data, current limitations, and future tre

An educational overview of the NeurIPS 2025 conference. Learn about key trends in AI research, including LLMs, major awards, acceptance rates, and new paper tra

A complete guide to Google Gemini for business plans and pricing. Learn about API costs, Workspace tiers, enterprise models, and real-world use cases.

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 and 4.6, state-of-the-art AI models for coding. Learn their capabilities for software development in healthcare and pharma. Updated February 2026.

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. Updated for GPT-5 and 2026 regulatory frameworks, 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 covers its platform, AI agents (Crow, Falcon, Owl, Phoenix, Finch), the Robin discovery system, ether0 reasoning model, and Edison Scientific spinout.

Learn about Humanity's Last Exam (HLE), the Nature-published AI benchmark testing true LLM reasoning with 2,500 expert-level questions. Updated with 2026 leaderboard scores from GPT-5, Claude Opus, and Gemini 3.

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.

GPQA-Diamond scores updated through 2026: Gemini 3.1 Pro (94.1%), GPT-5.2, Claude Opus 4.6, Aristotle-X1, and more. See which AI models beat PhD experts on 198 graduate-level science questions.

An in-depth analysis of Veeva AI Agents, the agentic AI integrated into the Veeva Vault platform for life sciences. Covers the December 2025 launch, early adopter results from Moderna and BMS, customer wins from Roche and Novo Nordisk, and the 2026 rollout roadmap.

An in-depth analysis of the HMMT25 AI benchmark for testing advanced mathematical reasoning in LLMs. See how models like Grok-4, GPT-5, and Gemini 3 perform on complex contest math problems, and how newer benchmarks like FrontierMath are raising the bar.

Learn what context engineering is and how it improves AI and LLM reliability. Updated for 2026, this guide covers RAG, MCP, agentic AI, and why context engineering has replaced prompt engineering

An overview of Anthropic's Claude Sonnet 4.5 model, its performance benchmarks, Claude Code 2.0 features like checkpoints, subagents, hooks, and IDE integration, plus updates on Opus 4.6 agent teams

Learn about AI company Cohere, its enterprise focus, Command family of LLMs, North agent platform, and path to a potential 2026 IPO. Updated with $240M ARR, Tiny Aya models, and latest developments.

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. Updated for 2026 with RTX 5090/5080 coverage, GDDR7 GPUs, and the latest inference frameworks.

An examination of the five key technical innovations behind ChatGPT, from the Transformer architecture and pretraining to RLHF and its successors (DPO, GRPO), GPU hardware evolution through NVIDIA Blackwell, and tokenization.

Learn methods for integrating ChatGPT with private enterprise data using Microsoft Azure and Microsoft Foundry. Covers security controls, compliance, Azure OpenAI Service, agents, MCP, and agentic retrieval.

Learn about mechanistic interpretability, named an MIT 2026 Breakthrough Technology. Covers circuit tracing, sparse autoencoders, attribution graphs, and how researchers are reverse-engineering AI models to uncover 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. Updated for GPT-5.2, Wolfram Language 14.3, and the transition from plugins to Custom GPTs.

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

A technical guide to Reinforcement Learning from Human Feedback (RLHF). This article covers its core concepts, training pipeline, key alignment algorithms, and 2025-2026 developments including DPO, GRPO, and RLAIF.

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. Updated with DeepMind's gold medal achievement and latest 2026 developments.

Learn how regulatory affairs ensures product compliance in health industries. Explore the fundamental role of AI and LLMs in modern regulatory processes, including the latest FDA/EMA joint guidance and EU AI Act requirements.

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 to Claude 4.5, key features, benchmarks, and advancements through January 2026.

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