Patrick Richards of Much Shelist PC examines shifts in how business is conducted in light of how clients integrate AI tools into their legal interactions, and he offers a "best-positioned" rule for ...
When Anthropic open-sourced the Model Context Protocol (MCP) in late 2024, it promised to solve one of the most persistent integration challenges in artificial intelligence. Before then, connecting ...
Though large language models remain popular, IT decision-makers are increasingly trying out smaller, open models that may be a better fit for enterprise AI needs.
Expanding AI adoption across industries and innovations in multimodal and agentic systems drive LLM market growth. Opportunities arise in automation, domain-specific models, and democratized access ...
Objectives To evaluate the performance of large language models (LLMs) in risk of bias assessment and to examine whether ...
As recently as 2022, just building a large language model (LLM) was a feat at the cutting edge of artificial-intelligence (AI) engineering. Three years on, experts are harder to impress. To really ...
Opportunities for agentic AI. AI agents go beyond basic in-context learning by enabling LLMs to iteratively plan, reason, and ...
AI is entering its diffusion phase, and the microeconomic pressures driving that transition are operating with unusual speed.
The advent of the evolutionary scale modeling (ESM) series of protein language models (PLMs) is a significant innovation in the convergence of large language models (LLMs) with protein representation.
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