Hacker News with Generative AI: Evaluation

Evaluating AI Agents with Azure AI Evaluation (microsoft.com)
Artificial intelligence agents are rapidly evolving from simple chatbots to agentic AI systems capable of planning, tool use, and autonomous decision-making. With this increased sophistication comes a pressing need for equally sophisticated evaluation methods. How do we measure if an AI agent is doing the right thing, using its tools correctly, and staying on task?

Artificial Intelligence, Evaluation, AI Agents, Azure

5 points by airylizard 15 days ago | 0 comments

Show HN: Pi Co-pilot – Evaluation of AI apps made easy (withpi.ai)

AI, Software, Tools, Evaluation

34 points by achintms 16 days ago | 8 comments

Experimentation Matters: Why Nuenki isn't using pairwise evaluations (nuenki.app)
Nuenki's old language translation quality benchmark used a simple system where a suite of LLMs would score the outputs of other LLMs between 1 and 10.

Machine Learning, Language Models, Evaluation, Research

6 points by Alex-Programs 22 days ago | 0 comments

Strengthening AI Agent Hijacking Evaluations (nist.gov)
Large AI models are increasingly used to power agentic systems, or “agents,” which can automate complex tasks on behalf of users.

Artificial Intelligence, Security, Agents, Evaluation

43 points by StatsAreFun 87 days ago | 15 comments

Chatbots Are Cheating on Their Benchmark Tests (theatlantic.com)
AI programs train on questions they’re later tested on. So how do we know if they’re getting smarter?

Artificial Intelligence, Machine Learning, Research, Evaluation

6 points by askl 94 days ago | 1 comments

Can We Trust AI Benchmarks? A Review of Current Issues in AI Evaluation (arxiv.org)
Quantitative Artificial Intelligence (AI) Benchmarks have emerged as fundamental tools for evaluating the performance, capability, and safety of AI models and systems.

Artificial Intelligence, Evaluation, Benchmarks, Research

23 points by rntn 112 days ago | 4 comments

How do we evaluate vector-based code retrieval? (voyageai.com)
Despite the widespread use of vector-based code retrieval, evaluating the retrieval quality of embedding models for code retrieval is a common pain point.

Code Retrieval, Evaluation, Machine Learning

55 points by fzliu 125 days ago | 0 comments

You're Not Testing Your AI Well Enough (tryreva.com)
Large Language Models (LLMs) have revolutionised machine learning, offering unprecedented versatility across various tasks. However, this flexibility poses a significant challenge: how do we effectively evaluate LLMs to ensure they’re suitable for specific applications?

Generative AI, Machine Learning, Evaluation

9 points by alexkirwan 206 days ago | 2 comments

Generated Checklists Improve LLM Evaluation and Generation (arxiv.org)
Given the widespread adoption and usage of Large Language Models (LLMs), it is crucial to have flexible and interpretable evaluations of their instruction-following ability.

Generative AI, Evaluation, AI, Checklists

22 points by hdvr 243 days ago | 1 comments

We're approaching LLM prompt evaluation at QA.tech (qa.tech)
The development of autonomous agents poses a unique challenge that other types of applications don’t typically grapple with: heavy reliance on inherently non-deterministic dependencies at multiple points within the system.

Artificial Intelligence, Software Development, Evaluation, Autonomous Agents

12 points by daniel_mp 264 days ago | 2 comments

Show HN: Anton the Search Relevance Evaluator (objective.inc)

Search, AI, Tools, Evaluation

13 points by pablomendes 276 days ago | 1 comments

IRL 25: Evaluating Language Models on Life's Curveballs (alignedhq.ai)

Generative AI, Language Models, Artificial Intelligence, Evaluation

4 points by pmmucsd 312 days ago | 0 comments

Everyone Is Judging AI by These Tests. Experts Say They're Close to Meaningless (themarkup.org)

Artificial Intelligence, Machine Learning, Evaluation, Bias

28 points by billybuckwheat 325 days ago | 19 comments

eBook on building LLM system evals (forestfriends.tech)