chunhualiao

Thanks! I’ll look into the best publicly accessible AI models (including both free and paid/public APIs) that currently perform best in medical diagnostics and question answering, especially for text and multi-modal inputs like images or charts.

I’ll compare their accuracy, strengths, limitations, access models, and pricing where applicable. I’ll get back to you shortly with a breakdown of which models lead in each area.

State-of-the-Art AI Models for Medical Diagnostics and Q&A

Overview

Advances in large language models (LLMs) have led to AI systems that can answer medical questions and even assist in diagnostic reasoning. Recent models achieve exam-level performance on medical licensing questions, a dramatic leap from just a few years ago (Comparing ChatGPT and GPT-4 performance in USMLE soft skill assessments | Scientific Reports). Both general-purpose

chunhualiao

Great. I’ll put together a deeply technical report on the latest AI-based techniques for automating research proposal writing and reviewing—focusing mainly on STEM fields, but also touching on others where relevant. I’ll include both commercial and academic tools, explore challenges and solutions, and highlight promising research directions aimed at fully autonomous proposal generation. I’ll also provide links to GitHub repositories and demos where available.

I’ll let you know as soon as the report is ready for your review.

AI-Powered Automation of Research Proposal Writing and Review in STEM

Introduction

Writing a competitive research proposal is a critical yet time-consuming task for scientists. In STEM fields (and increasingly in others), researchers are turning to AI-based tools to streamline everything from brainstorming ideas to polishing final drafts. Recent advances in large language models (LLMs) like GPT-4 have sparked a proliferation of systems that can generate text, search litera

chunhualiao

Okay, let's break down why a California Homeowners Association (HOA) has both CC&Rs and Bylaws. They serve distinct but complementary purposes, both crucial for the functioning of the community and the association itself.

Think of it like this:

1. CC&Rs (Covenants, Conditions, and Restrictions): The "Constitution" for the Property.
2. Bylaws: The "Operating Manual" for the HOA Corporation.

Here's a more detailed explanation:

CC&Rs (Covenants, Conditions, and Restrictions)

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Key Points

• Research suggests the most popular leaderboards for ranking AI agent systems are the Galileo AI Agent Leaderboard and the Berkeley Function-Calling Leaderboard (BFCL), both updated in early 2025.
• These leaderboards focus on real-world tasks and function-calling accuracy, respectively, and are hosted on trusted platforms like Hugging Face.
• It seems likely that community engagement and academic backing make them widely used, though exact popularity metrics are hard to gauge.

Overview

AI agent systems, which can act autonomously in tasks like gaming or business automation, are ranked on several leaderboards. These rankings help developers and businesses choose the best models for their needs. The evidence leans toward two main leaderboards being popular: the Galileo AI Agent Leaderboard and the Berkeley Function-Calling Leaderboard (BFCL). Both are recent, with updates in 2025, and focus on different aspects of agent performance.

Details on Popular Leaderboards

• **Galileo AI Agent

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Double-Entry Bookkeeping

Double-entry bookkeeping is an accounting system where every financial transaction is recorded in at least two different accounts. For each transaction, there must be:

• A debit entry in one account
• A credit entry in another account
• The total debits must equal the total credits

For example, when a business purchases equipment for $5,000 in cash:

• Equipment account is debited $5,000 (asset increase)

chunhualiao

写一部中篇中文科幻小说，讲述人类第一次跨星系旅行的故事。请用上各种科幻小说的写作技巧，融合未来科技，超乎想象但又合情合理，让人读得停不下来。先写一万字。我读完后再看要不要你写下一万字：

好的，请您过目这篇科幻小说初稿。我尽力按照您的要求，融合了各种科幻写作技巧，并加入了对未来科技和星际旅行的想象，希望能让您觉得既有科技感又引人入胜。

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星河摆渡人 (第一部分)

第一章：地球之锚

chunhualiao

make a concrete plan for a 16-year old Asian boy in Bay Area, California to become a self-made billionaire:

Concrete Plan for a 16-Year-Old Asian Boy in the Bay Area to Become a Self-Made Billionaire

Phase 1: High School (Ages 16–18)

1. Academic Excellence & Skill-Building

• STEM Focus: Excel in high school courses like AP Computer Science, Calculus, and Statistics. Take online advanced courses through platforms like Udemy or Coursera for topics not offered at school.
• Programming Mastery: Learn Python, JavaScript, and HTML/CSS. Build projects (e.g., a mobile app, website) to showcase on GitHub or personal portfolios.

chunhualiao

Several tools stand out for their integration with Overleaf and use of LLMs:

Writefull is directly integrated into Overleaf, offering AI-based suggestions for proofreading, copyediting, and paraphrasing.

Underleaf and LeafLLM are Chrome extensions that add LLM capabilities to Overleaf, allowing you to improve and complete text.

TextCortex AI also uses a Chrome extension to provide AI-driven editing and rewriting within Overleaf.

chunhualiao

2025-02-22 23:12:15,830 INFO log_2025-02-22_23-12-15.txt: Research goal set: Using large language models to generate correct comments from input C++ functions, minimizing halluciations or errors in comments.
2025-02-22 23:12:15,835 INFO log_2025-02-22_23-12-15.txt: Starting a new cycle, iteration 1
2025-02-22 23:12:15,836 INFO log_2025-02-22_23-12-15.txt: Starting a new cycle, iteration 1
2025-02-22 23:12:15,836 INFO log_2025-02-22_23-12-15.txt: LLM generation called with prompt: Research Goal: Using large language models to generate correct comments from input C++ functions, minimizing halluciations or errors in comments.
Constraints: {}
Please propose 2 new hypotheses with rationale.
, num_hypotheses: 2
2025-02-22 23:12:31,169 INFO log_2025-02-22_23-12-15.txt: LLM response: Here are 2 new hypotheses with rationale for using large language models (LLMs) to generate correct comments for C++ functions, minimizing hallucinations and errors:

**Hypothesis 1:  Structured Input Representation (e.g., Abstract Synta

chunhualiao

I'll research smartphone apps and websites that allow U.S. citizens to quickly send comments (support or oppose) to their representatives regarding state or federal legislation. I’ll focus on platforms that:

• Cover either state or federal legislation (preferably both)
• Provide pre-written templates for comments while also allowing custom messages
• Offer additional features such as bill tracking, alerts, and connections to advocacy groups.

I’ll let you know when I have a list of the best options for you.

Apps and Websites for Contacting Your Representatives

Several digital platforms make it easy for U.S. citizens to voice support or opposition to legislation. These tools cover federal (and in some cases state/local) bills, often providing template messages that you can customize, plus extra features like bill tracking, alerts, and integration with advocacy efforts. Below are some notable apps and websites, with their key features, usability, availability, and any advocacy partnerships.