110 ChatGPT: The Bioinformatics Calculator
MP3•एपिसोड होम
Manage episode 368083088 series 3381906
Micro Binfie Podcast and Microbial Bioinformatics द्वारा प्रदान की गई सामग्री. एपिसोड, ग्राफिक्स और पॉडकास्ट विवरण सहित सभी पॉडकास्ट सामग्री Micro Binfie Podcast and Microbial Bioinformatics या उनके पॉडकास्ट प्लेटफ़ॉर्म पार्टनर द्वारा सीधे अपलोड और प्रदान की जाती है। यदि आपको लगता है कि कोई आपकी अनुमति के बिना आपके कॉपीराइट किए गए कार्य का उपयोग कर रहा है, तो आप यहां बताई गई प्रक्रिया का पालन कर सकते हैं https://hi.player.fm/legal।
In this episode there is a comprehensive discussion on the influence of AI, especially GPT-4, in the sphere of microbial bioinformatics. They reflect on a study testing GPT-4's problem-solving capabilities, which raises concerns about its potential impact on employment practices and academic integrity. There's speculation that AI's proficiency in tackling standard technical problems could interfere with genuinely evaluating a candidate's knowledge during interviews. Drawing parallels with calculators, the hosts deliberate on whether AI tools should be permitted during assessments. They stress the necessity for individuals to possess a deep understanding of their domain to accurately interpret and validate AI solutions. Discussing the AI's limitations, the hosts highlight its struggles with regular expressions and handling larger scripts. They observe the AI tends to loop and repeat itself, performing better with shorter scripts but faltering on more complex tasks often seen in bioinformatics. This prompts a discussion on how educators should address these developments in their teaching strategies. Moreover, the hosts explore the potential of large language models to improve base calling and read correction in sequencing, drawing on the structured and predictable nature of language and genetic code. They also discuss the idea of introducing randomness in these models to generate creative and varied solutions, potentially predicting future alleles or gene configurations. Ultimately, they express a blend of enthusiasm and apprehension towards the swift advances in this field and the ensuing implications for bioinformatics. They end on a note of anticipation for future developments, with a humorous nod towards AI's potential for automating mundane tasks like auto-correcting sample sheets. References: What Is ChatGPT Doing … and Why Does It Work? https://writings.stephenwolfram.com/2023/02/what-is-chatgpt-doing-and-why-does-it-work/ Many bioinformatics programming tasks can be automated with ChatGPT https://arxiv.org/ftp/arxiv/papers/2303/2303.13528.pdf ChatGPT for bioinformatics https://medium.com/@91mattmoore/chatgpt-for-bioinformatics-404c6d0817a1 Empowering Beginners in Bioinformatics with ChatGPT https://www.biorxiv.org/content/10.1101/2023.03.07.531414v1 Lawyer uses GPT and get ethics violation https://simonwillison.net/2023/May/27/lawyer-chatgpt/ Can ChatGPT solve bioinformatic problems with Python? https://dmnfarrell.github.io/bioinformatics/chatGPT-python
…
continue reading
133 एपिसोडस