Feb. 15, 2024, 4:29 a.m. | Muhammad Athar Ganaie

MarkTechPost www.marktechpost.com

The seamless integration of Large Language Models (LLMs) into the fabric of specialized scientific research represents a pivotal shift in the landscape of computational biology, chemistry, and beyond. Traditionally, LLMs excel in broad natural language processing tasks but falter when navigating the complex terrains of domains rich in specialized terminologies and structured data formats, such […]


The post Microsoft’s TAG-LLM: An AI Weapon for Decoding Complex Protein Structures and Chemical Compounds! appeared first on MarkTechPost.

ai shorts applications artificial intelligence beyond biology chemical compounds chemistry computational computational biology decoding domains editors pick excel fabric integration landscape language language models language processing large language large language models llm llms machine learning microsoft natural natural language natural language processing pivotal processing protein protein structures research scientific research seamless integration shift staff tag tasks tech news technology weapon

More from www.marktechpost.com / MarkTechPost

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US