Making artificial intelligence practical, productive, and accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, etc). The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!
Controlled and compliant AI applications
You can’t build robust systems with inconsistent, unstructured text output from LLMs. Moreover, LLM integrations scare corporate lawyers, finance departments, and security professionals due to hallucinations, cost, lack of compliance (e.g., HIPAA), leaked IP/PII, and “injection” vulnerabilities.
In this episode, Chris interviews Daniel about his new company called Prediction Guard, which addresses these issues. They discuss some practical methodologies for getting consistent, structured output from compliant AI systems. These systems, driven by open access models and various kinds of LLM wrappers, can help you delight customers AND navigate the increasing restrictions on “GPT” models.
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Featuring:
Show Notes:
Something missing or broken? PRs welcome!
Timestamps:
(00:00) - Welcome to Practical AI
(01:02) - Growing AI interests
(02:36) - Disclaimer?
(04:17) - Co-host & guest?
(05:34) - Pressures of AI
(11:47) - Unlocking more value
(14:50) - Sponsor: Changelog News
(16:43) - Open access models
(20:25) - Where do we place our bets?
(25:35) - Structured 7 typed output
(30:33) - Problems of the space
(37:55) - Determining your needs
(41:22) - Ease of use
(43:03) - No code world
(45:27) - The future question
(48:06) - Goodbyes
(48:52) - Outro