Siirry offline-tilaan Player FM avulla!
We Love Ugly Data! The Deep Analysis Podcast - Episode 17 July 2024
Manage episode 428201537 series 3047837
The seventeenth episode of the podcast that you know and love as "We Love Ugly Data!" is out; available everywhere you get your podcasts from and, of course, in video form via YouTube (which we've embedded below). As always, it's three topics in (just a touch over) 30 minutes, and show notes are, as usual, included below the embedded video. This time around, Matt and Dan are in the chairs, discussing how to train your LLM, The Usual Suspects (chosen by the usual analyst firms), and Analyst Briefings: Do's and Do not.
In this month's episode:
Topic 1: How to train your LLM
Inspired by a blog post of his from last year, Dan discusses the finer points of how LLMs can be trained to ensure that your IDP processes work better. He also confirms his membership in the court of King Charles, which, to be honest, wasn't necessary.
Topic 2: The Usual Suspects
Again, inspired by another blog post—this time a bit more recent—Dan wants us to remember to look beyond those in the top right-hand corner of the 2x2 diagram when we're selecting software. It's naturally focusing on IDP again, but the lesson can easily be applied across the board. Matt also suggests that we may not have paid for the associated image, but he turns out to be entirely wrong (so call off the lawyers).
Topic 3: Conference programs; what works and what doesn’t?
As analysts, we spend much of our time being briefed by software vendors. Here, Dan and Matt discuss the do's and do nots of presenting your company and products to analysts (hint, hint: go to town on talking about case studies and the actual details of projects you've done).
https://www.youtube.com/watch?v=-OmIWNC5QsA
Show notes for Series 3, Episode 7.
Topic 1: How to train your LLM
Dan's original blog post "How to Train your LLM."
Topic 2: The Usual Suspects
Dan's original blog post, "Don't Settle for the Usual Suspects."
45 jaksoa
Manage episode 428201537 series 3047837
The seventeenth episode of the podcast that you know and love as "We Love Ugly Data!" is out; available everywhere you get your podcasts from and, of course, in video form via YouTube (which we've embedded below). As always, it's three topics in (just a touch over) 30 minutes, and show notes are, as usual, included below the embedded video. This time around, Matt and Dan are in the chairs, discussing how to train your LLM, The Usual Suspects (chosen by the usual analyst firms), and Analyst Briefings: Do's and Do not.
In this month's episode:
Topic 1: How to train your LLM
Inspired by a blog post of his from last year, Dan discusses the finer points of how LLMs can be trained to ensure that your IDP processes work better. He also confirms his membership in the court of King Charles, which, to be honest, wasn't necessary.
Topic 2: The Usual Suspects
Again, inspired by another blog post—this time a bit more recent—Dan wants us to remember to look beyond those in the top right-hand corner of the 2x2 diagram when we're selecting software. It's naturally focusing on IDP again, but the lesson can easily be applied across the board. Matt also suggests that we may not have paid for the associated image, but he turns out to be entirely wrong (so call off the lawyers).
Topic 3: Conference programs; what works and what doesn’t?
As analysts, we spend much of our time being briefed by software vendors. Here, Dan and Matt discuss the do's and do nots of presenting your company and products to analysts (hint, hint: go to town on talking about case studies and the actual details of projects you've done).
https://www.youtube.com/watch?v=-OmIWNC5QsA
Show notes for Series 3, Episode 7.
Topic 1: How to train your LLM
Dan's original blog post "How to Train your LLM."
Topic 2: The Usual Suspects
Dan's original blog post, "Don't Settle for the Usual Suspects."
45 jaksoa
Όλα τα επεισόδια
×Tervetuloa Player FM:n!
Player FM skannaa verkkoa löytääkseen korkealaatuisia podcasteja, joista voit nauttia juuri nyt. Se on paras podcast-sovellus ja toimii Androidilla, iPhonela, ja verkossa. Rekisteröidy sykronoidaksesi tilaukset laitteiden välillä.