Stop debugging AI agents: evaluate skills and ship 3x better code

Complete AI Training · Advanced ·🧠 Large Language Models ·3mo ago

Key Takeaways

Evaluate and improve AI agent skills using Tessl

Original Description

Tessl tests and improves agent skills so your code agents stay sharp across model updates. Spend less time fixing outputs and more time shipping. https://completeaitraining.com/ai-tools/tessl #AIcoding #DevTools #AIAgents #CodeQuality #Automation #LLM #SoftwareEngineering
Watch on YouTube ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related Reads

📰
What Are AI Tokens? The Language and Currency Powering Modern AI
Learn about AI tokens, the fundamental units of data powering modern AI models, and their role in training and inference
Medium · AI
 📰
Interventional Grounding Audits: Black-Box Premise-Dependency Tests for LLM Chain-of-Thought via Predicate Substitution
Learn to audit LLM chain-of-thought reasoning using interventional grounding audits, a black-box test of premise dependency via predicate substitution, to ensure logical soundness
ArXiv cs.AI
 📰
Improving Molecular Property Prediction in Small Language Models Using Graph-based Tools
Improve molecular property prediction in small language models using graph-based tools and Context-Augmented Prompting
ArXiv cs.AI
 📰
Cost-Optimal Foundation Model Deployment Portfolio for Transportation Management
Learn to deploy foundation models cost-optimally for transportation management, balancing model selection, deployment mode, and hardware budget
ArXiv cs.AI
Up next
5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
Dave Ebbelaar (LLM Eng)
Watch →