Vals AI offers private, domain‑specific benchmarks that let organizations evaluate large language model performance in legal, tax, and finance use cases. The service provides proprietary datasets and live leaderboards, enabling unbiased task‑focused comparisons created with input from subject‑matter experts.
Highlights
Private benchmarks tailored to legal, tax, and finance domains
Proprietary datasets and live leaderboards for transparent model comparison
Collaboration with domain experts ensures real world relevance
Includes recent releases such as the Finance Agent Benchmark
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Context
Audience
AI researchers, data scientists, and product teams building or evaluating language models for legal, tax, or financial applications
Find and explore llms.txt files from various products and services.
github.com
GitHub - vectara/hallucination-leaderboard: Leaderboard Comparing LLM Performance at Producing Hallucinations when Summarizing Short Documents
Leaderboard Comparing LLM Performance at Producing Hallucinations when Summarizing Short Documents - vectara/hallucination-leaderboard
z.ai
GLM-5: From Vibe Coding to Agentic Engineering
GLM-5 is a 744B-parameter MoE model (40B active) from Zhipu AI, scaled up from GLM-4.5's 355B with 28.5T pre-training tokens and DeepSeek Sparse Atten...