Adala v0.0.2 – Introducing Skill Sets!
Focusing on Complex Tasks
We're introducing skill sets, a concept focused on nuanced and sophisticated data processing that reflects the complex nature of real-world problem-solving. In practical scenarios, skills are rarely isolated and often require a multifaceted approach where the output of one skill feeds into the input of another.
By simulating this reality, skill sequencing allows for a granular level of control and customization in automated workflows, facilitating the breakdown of complex tasks into simpler, sequential operations. This not only improves the manageability of data processing tasks, but also enhances the capability of systems to learn and adapt to a variety of scenarios.
Each isolated skill is still verified through the continuous interaction with the environment, improving the overall system's reliability.
Enhancements
- Agents can now learn skills as a skillset (see the linear_skillset_program example). (#21)
- Added fuzzy matching for ground truth comparisons (matching.py). (#21)
- Built out the testing framework (see the tests directory).
- Added the ability to analyze with reasoning (chain of thoughts error analysis).
Bug Fixes
- Fixed an issue where agent creation was failing without GPT4. (#20) Special thanks to @shenxiangzhuang for the first community contribution 🥳
