Ben and Ryan explore why configuration is so complicated, the right to repair, the best programming languages for beginners, how AI is grading exams in Texas, Automattic’s $125M acquisition of Beeper, and why a major US city’s train system still relies on floppy disks. Plus: The unique challenge of keeping up with a field that’s changing as rapidly as GenAI. https://stackoverflow.blog/2024/04/19/why-configuration-is-so-complicated/
Ben talks with Shane McAllister, lead developer advocate at MongoDB, Stanimira Vlaeva, senior developer advocate at MongoDB, and Miku Jha, director, AI/ML and generative AI at Google Cloud, about the challenges and opportunities of operationalizing and scaling generative AI models in enterprise organizations. https://stackoverflow.blog/2024/04/17/if-everyone-is-building-ai-why-aren-t-more-projects-in-production/
On this episode: Stack Overflow senior data scientist Michael Geden tells Ryan and Ben about how data scientists evaluate large language models (LLMs) and their output. They cover the challenges involved in evaluating LLMs, how LLMs are being used to evaluate other LLMs, the importance of data validating, the need for human raters, and more needs and tradeoffs involved in selecting and fine-tuning LLMs. https://stackoverflow.blog/2024/04/16/how-do-you-evaluate-an-llm-try-an-llm/
The key strategies for building a headache-free data platform https://stackoverflow.blog/2024/04/15/how-to-succeed-as-a-data-engineer-without-the-burnout/
In the wake of the XZ backdoor, Ben and Ryan unpack the security implications of relying on open-source software projects maintained by small teams. They also discuss the open-source nature of Linux, the high cost of education in the US, the value of open-source contributions for job seekers, and what Apple is up to AI-wise. https://stackoverflow.blog/2024/04/12/diverting-more-backdoor-disasters/
In this sponsored episode, Ben and Ryan are joined by Ria Cheruvu, an AI evangelist at Intel, to discuss the different approaches to incorporating AI models into organizations. https://stackoverflow.blog/2024/04/10/climbing-the-genai-decision-tree/
The home team convenes to discuss the XZ backdoor attack, what great software engineers have in common, how GenAI is changing the face of drug development, and the rise of managed service providers for AI. https://stackoverflow.blog/2024/04/09/want-to-be-a-great-software-engineer-don-t-be-a-jerk/
We sit down with Jessica Clark, a senior data scientist at Stack Overflow, to discuss how our company approaches generative AI and data quality. https://stackoverflow.blog/2024/04/05/what-a-year-building-ai-has-taught-stack-overflow/
This new LLM technique has started improving the results of models without additional training. https://stackoverflow.blog/2024/04/04/how-do-mixture-of-experts-layers-affect-transformer-models/
CodeGen is fast, but you need to be good. https://stackoverflow.blog/2024/04/03/developers-with-ai-assistants-need-to-follow-the-pair-programming-model/
