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27 Aug
Posted by
Nandan
Patient Diagnosis and Treatment Agent
AI healthcare agents analyze medical records, lab results, and imaging data to assist doctors in diagnosing diseases. These advanced agents can process immense volumes of data, compare patient information, and suggest potential diagnoses and treatment plans. By incorporating AI technology, healthcare professionals can make more informed decisions, leading to better patient outcomes. An example of …
29 Aug
Posted by
Gunjan Gulhane
Tree of Thoughts: Deliberate Problem Solving with Large Language Models
Language models are increasingly deployed for problem-solving across diverse tasks. However, their token-level, left-to-right decision-making process during inference can limit their ability to handle tasks requiring exploration, strategic lookahead, or where initial decisions play a pivotal role. A new framework called “Tree of Thoughts” (ToT) addresses this challenge by enabling language models …
29 Aug
Posted by
Gunjan Gulhane
AGENTLESS: Demystifying LLM-based Software Engineering Agents
Large language models (LLMs) have revolutionized software engineering by automating tasks like code synthesis, program repair, and test generation. However, current agent-based approaches that equip LLMs with tools and autonomous decision-making capabilities face limitations due to complex tool usage, lack of control in decision planning, and limited self-reflection abilities.
Overcoming the…