The DIG framework simplifies data analysis into three clear steps, making it accessible and efficient for users of all skill levels, when paired with a tool like ChatGPT.
Key Takeaways:
- The DIG framework (Description, Introspection, Goal Setting) simplifies data analysis into three clear steps, making it accessible and efficient for users.
- The framework is particularly beneficial for non-technical users, offering accessibility, efficiency, and the ability to uncover trends, patterns, and gaps in data.
- Best practices for effective data analysis include anticipating stakeholder needs, focusing on relevant data, validating AI outputs, and addressing data quality issues early in the process.
Securing AI Agents with Honeypots, catch prompt injections before they bite
Given that powerful models like K2 are available cheaply on hosted platforms with great inference speed, are you regretting investing in hardware for LLMs?
Found a way to stop Claude's forced engagement questions - and asked him how he feels about it
My simple test: Qwen3-32b > Qwen3-14B ≈ DS Qwen3-8 ≳ Qwen3-4B > Mistral 3.2 24B > Gemma3-27b-it,
Seriously whats the play for the future?
Reminder: stay safe while using Claude Code
New API rate limits effective immediately!
I no longer know what else to do to keep Claude from ignoring CLAUDE.md
Two weeks in with Claude Code - Mostly UPs but over the past 48 hours some DOWNs
Prompt for AI Hallucination Reduction