- wöchentlichErscheinungsrhythmus
- 19 mintypische Länge
- 2. Okt. 2024letzte Folge
Embark on a captivating exploration of Large Language Models (LLMs), prompt engineering, and generative AI with hosts Bradley Arsenault and Justin Macorin. With 25 years of combined machine learning and product engineering experience, they are delving deep into the world of LLMs to uncover best practices and stay at the forefront of AI innovation. Join them in shaping the future of technology and software development through their discoveries in LLMs and generative AI.
Podcast website: promptdesk.ai/podcast
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What we learned about LLM’s in a year
In this one year anniversary episode of the podcast, your show hosts look back on what they have learned and observed over the past year. They made the following observations: • Reflection on a year of LLM development: The hosts discuss how
Validating Inputs with LLMs
In this thought-provoking episode, AI experts Bradley Arsenault and Justin Macorin delve into the cutting-edge world of input validation using large language models (LLMs). The hosts explore how this innovative approach is transforming trad
Why you can't automate everything with LLMs
In this episode of Prompt Desk, hosts Bradley Arsenault and Justin Macorin dive into the evolving landscape of AI applications. They explore the shift from full automation dreams to the reality of human-AI collaboration, discussing why guid
Data Preparation Best Practices for Fine Tuning
In this episode of The Prompt Desk podcast, hosts Bradley Arsenault and Justin Macorin dive deep into the world of fine-tuning large language models. They discuss: • The evolution of data preparation techniques from traditional NLP to moder
Multilingual Prompting
Have you ever tried to run a prompt in another language and gotten completely different results? It is a sad truth that our LLM models continue to work best in English. It is something that will probably always remain true because of the do
Safely Executing LLM Code
In this episode, AI experts Bradley Arsenault and Justin Macon dive deep into the challenges and best practices for safely executing code generated by large language models in a production environment. They discuss key security consideratio
How to Rescue AI Innovation at Big Companies
In this episode, we dive into how companies can compete and innovate in the age of AI. We explore the limitations of simple "Generate with AI" buttons and discuss the need for more radical changes in AI implementation. Drawing from Clayton
How UX Will Change With Integrated Advice
Are you tired of hearing about agents? Chat-bot this, agent that. It's the only way to apply AI that anyone talks about. But are agents the only way to use LLM technology? Is everything just converging towards conversational interface? In t
Prompting in Tool Results
If you are using systems prompts, chat completions, and tool completions with OpenAI, you might find it challenging to get the model to follow your prompts. If you are like the show hosts, you often find that there are certain instructions
Can custom chips save AI's power problem?
Cutting-edge AI models use a lot of power. It is not uncommon to hear of data centers under construction that require the power output of the largest nuclear reactors all by themselves. Large tech companies used to tout their green credenti
Towards an Inter-Agent Communication Standard
In this future-looking episode, hosts Bradley Arsenault and Justin Macorin discuss how agents might communicate with each other in the future. Will agents be making HTTP requests to each other? Will agents dial each other up on the phone? M
Should we let prompts write prompts?
In this thought-provoking episode, hosts Bradley and Justin explore the intriguing concept of using AI to write prompts for other AI systems. They delve into the paradoxical nature of this idea and discuss potential approaches to make it fe
The Bot Delusion
Brad and Justin discuss the gap between AI's perceived capabilities and limitations. We explore common misconceptions about chatbots, discussing pre-defined tasks, integration dependencies, and the importance of clearly defining both what A
Experiments with the Networking Bot
In this episode of The Prompt Desk Podcast, hosts Bradley Arsenault and Justin Macorin dive into the fascinating world of AI-powered networking bots. Bradley shares his experience creating and refining a bot that makes phone calls to schedu
Using Agents to Test Agents
In this cutting-edge episode of The Prompt Desk, your hosts Justin Macorin and Bradley Arsenault explore innovative techniques for testing AI agents using synthetic data and AI-generated test cases. Discover how to create testing agents tha
MuIti Agent Engineering
Explore the current landscape and future possibilities of AI agents with machine learning experts Justin and Brad. They discuss the trade-offs between specialized and general-purpose agents, the importance of domain expertise, and the poten
Taming Erratic Behavior in AI Agents
As AI agents powered by large language models become more complex, developers often encounter erratic and unexpected behaviors during testing. From agents falling into infinite loops to models struggling with certain data formats, these iss
[Bonus] LLMs making Web-Browsing Decisions
[Bonus] This is a bonus episode. We had too many unreleased episodes in our backlog, so we decided to give you an extra treat this week! Hope you enjoy it! Join the discussion on how AI agents can intelligently browse websites to retrieve s
Mastering Chat Completions
Gain a better understanding of completion vs. chat completion methods for large language models. Get the scoop on why chat completions are great for building chatbots quick, but can sometimes go off the rails. Learn how to keep your model o
[Bonus] Non-Engineers and Prompts
[Bonus] This is a bonus episode. We had too many unreleased episodes in our backlog, so we decided to give you an extra treat this week! Hope you enjoy it! Dive into the world of prompt engineering for large language models like GPT. This e
Measuring Business Results of LLMs with Abi Aryan
In this insightful episode, hosts Justin Macorin and Bradley Arsenault chat with AI expert Abi Aryan to dive deep into the challenges of measuring the business impact of large language model applications. Abby draws from her 8 years of expe
[Bonus] Next iteration of Chat Interfaces
[Bonus] This is a bonus episode. We had too many unreleased episodes in our backlog, so we decided to give you an extra treat this week! Hope you enjoy! This episode explores the idea of making large language model interactions more transpa
GPT-4o - Do expectations meet reality?
Did you immediately try out the GPT-4o model as soon as it came splashing across your news feed? If you were anything like your show hosts, you quickly realized that it's just one step in the ever-evolving world of AI. This realization migh
[Bonus] Using Embedding Vectors
Note! This is an episode that we found in our archive unreleased. It is one of the earliest episodes we ever recorded, but has so far gone not been listened to. It's not quite the same style as our current episodes, but we thought we'd rele
Breaking Down Tasks for AI Agents
In this insightful episode, hosts Bradley and Justin tackle the challenge of managing expectations when using large language models (LLMs) and AI agents for tasks like content creation and website interactions. They dispel the common miscon
How to protect your LLM against Prompt Injections
In this episode, we discuss, how we might protect prompt-based applications and LLMs from prompt injection. We discuss how data validation was done in the 1960s and modern libraries and techniques that can successfully act as a first line o
How do we know if Llama 3 is actually any better with Maxime Labonne
If you are anything like us, for 36 hours your Twitter and LinkedIn feeds were set ablaze by claims that Llama 3 is the greatest LLM since sliced bread. But how do we know that is actually the case? How do we separate the hype and noise fro
The Importance of Decomposition in Prompt Engineering
As AI language models become increasingly powerful, more and more people are discovering the potential of well-crafted prompts to boost productivity and solve complex problems. Justin and Brad share their expertise on designing effective pr
How LLM’s have changed MLOps with Andy McMahon
What is LLM and ML Ops? How has the field of MLOps changed with the introduction of LLM models? What is the emerging field of Prompt Ops? How should we measure the effectiveness of our models in production? To answer these questions, we inv
A Process for Prompt Experimentation
Explore the current landscape and future possibilities of AI agents with machine learning experts Justin and Brad. They discuss the trade-offs between specialized and general-purpose agents, the importance of domain expertise, and the poten
