The Prompt Desk

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 of defense against prompt injection. We touch on the idea that using other types of models, such as decision trees, conventional NLP pipelines, embedding models,...

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 from the reality? On what basis can we credibly claim that one LLM is better than another? On this episode of The Prompt Desk, Justin Macorin and I brought on LLM...

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 prompts that adhere to rigorous engineering principles. They highlight real-world examples of prompts that have yielded impressive results and provide valuable in...

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 invited MLOps expert Andrew McMahon to chat. Check out Andrew's LinkedIn, Twitter, and book using these links: Linkedin - https://www.linkedin.com/in/andrew-p-mcma...

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 potential for agent aggregators. The conversation also covers the standardization of agent-to-agent communication and how organizations may adopt and integrate these...

Prompt Injections might be the single biggest risk to the deployment of LLM systems. In this episode of The Prompt Desk, your host Bradley Arsenault sits down with researcher Jonas Geiping to talk about his research on LLM security. Jonas and his colleagues have found optimization techniques that allow them to find prompts that they can put into any LLM model that can make it do anything. The open...

Explore the six essential components that define an AI agent in 2024, including input/output, memory, loops and recursion, third-party actions, and comprehension. Join Brad and Justin as they discuss the criteria needed for a sophisticated AI system to be considered an agent, and how these requirements contribute to realizing the sci-fi vision of AI depicted in movies. — Continue listening to The...

Are you wondering how LLM Agents can be applied in large enterprises? Are we all going to become managers to teams of AI systems, cobbled together like a rag-tag group of robot butlers? In the latest episode of The Prompt Desk, hosts Justin Macorin and Bradley Arsenault sit down with Alan Wunsche to talk about the deployment and rollout of AI agents in enterprise business environments. Check out A...

In this episode of The Prompt Desk, hosts Justin Macorin and Bradley Arsenault discuss the various ways they have been using coding assistants, such as Github Copilot, in order to boost their productivity as software developers. The two exchange ideas, thoughts and techniques on how to better use these tools. — Continue listening to The Prompt Desk Podcast for everything LLM & GPT, Prompt Engi...

Join us with Sachin Kamath as we explore how to use AI in creative projects effectively and how we may effectively integrate AI into existing workflows, significantly enhancing productivity and creative output. We discuss frameworks for advanced prompting, ethical considerations, and best practices in AI. Consistent Character GPT: https://chat.openai.com/g/g-a9JivI0y2-consistent-character-gpt-fast...

Does Voodo in prompt engineering exist? The evolution from manual prompt crafting to automated refinement and optimization in AI interactions marks a transition from art to science. Let's discuss how initial natural language inputs transform, improving communication with large language models for more precise and effective outputs. Join us as we explore the fascinating process of refining prompts...

This episode discusses improving code generation with LLMs by dynamically extracting functions and context, using techniques like Python's inspect modules and JavaScript's toString. The goal is to produce code that integrates well with existing projects, enhancing customization and practicality. — Continue listening to The Prompt Desk Podcast for everything LLM & GPT, Prompt Engineering, Gener...

Join us as we explore the advancements and challenges in implementing Retriever-Augmented Generation (RAG) systems for document retrieval and summarization, examining selective information inclusion, re-ranking strategies, and the importance of document parsing and query pre-processing. We discuss with Denys Linkov the practical applications, benefits, and considerations of RAG-based solutions in...

Don't miss out on our discussion about the critical factors of expert domain knowledge, intellectual property, and the impact of first-mover advantage. These factors remain the most important competitive advantages, even in today's rapidly evolving technological landscape. — Continue listening to The Prompt Desk Podcast for everything LLM & GPT, Prompt Engineering, Generative AI, and LLM Secur...

In today's world, application security is more important than ever before. One of the most significant risks to application security is prompt injection. It can cause irreparable damage to your business. That's why it's critical to understand the various injection techniques, their impact on your business, and how you can mitigate the risks. — Continue listening to The Prompt Desk Podcast for ever...

Let's discover the rise of local Small Language Models (SLMs), contrasting them with their larger, internet-dependent counterparts - LLMs. We discuss real-world applications like Google Maps, in-browser neural networks, and Apple Photos, examining the benefits of local installation for speed, reliability, privacy, and cost, and address the challenges and opportunities for engineers in this evolvin...

In this episode, we interview Charles H Martin about his open-source Weight Watcher project ( found here https://weightwatcher.ai/ ), which provides ways to test the quality and fit of deep neural networks without having to rely upon a validation dataset. Given the scarcity of high-quality data and the complexity of modern multi-stage ML training and deployment pipelines, this technique could prov...

Artificial Intelligence (AI) systems are often considered magical, but they are actually composed of several components, with LLMs being only one of them. It is essential to understand that AI systems utilize a range of components, including classification models, transformers, code execution, API calls, and IO read/write file calls, among others, to enhance their functionality. These components w...

Conditional logic powered by Large Language Models (LLMs) is transforming the traditional if/else statements in software applications, enabling quicker and more efficient integration of AI-based conditional logic. This advancement significantly enhances non-technical specialists' ability to customize complex applications easily. — Continue listening to The Prompt Desk Podcast for everything LLM &a...

Should computers talk English to eachother? This podcasts discusses how computers can use natural language queries to execute API and database calls. Join us as we discuss the challenges, opportunities, and future potential of natural language processing in computer communication. — Continue listening to The Prompt Desk Podcast for everything LLM & GPT, Prompt Engineering, Generative AI, and L...

Dive deep into the world of prompt development where we break down the different steps of developing prompt-based applications. From your first prompt to a fine-tuned version, we unravel the intricacies of prompt engineering, exploring how to effectively craft, test, and refine prompts to optimize interaction and functionality in AI-driven applications. — Continue listening to The Prompt Desk Podc...

Dive deep into the world of using Large Language Models (LLMs) to generate source code as we explore the importance of types and schema definitions. Join us as we discuss the challenges of generating accurate and reliable code, the role of types and schema in improving code quality, and how LLMs can be leveraged to enhance the development process. Whether you're a developer looking to optimize you...

Dive deep into OpenAI's newest press release as we discuss and examine the implications of their newest features, and draw parallels with past tech giants like AOL, Netscape, and Apple's Flashlight application. Join us for a thought-provoking journey through the evolution of AI and technology. — Continue listening to The Prompt Desk Podcast for everything LLM & GPT, Prompt Engineering, Generat...

Dive deep into how instruction and data placement can have a significant impact on prompt and output quality. Join us as we explore how we use statistics to measure prompt quality and what data and instruction placements yield the best success. — Continue listening to The Prompt Desk Podcast for everything LLM & GPT, Prompt Engineering, Generative AI, and LLM Security. Check out PromptDesk.ai...

Dive deep into the art of prompt engineering as Brad and Justin share their personal experiences with machine learning models, unravel the mysteries of why shorter prompts often yield better results and the nuances of zero-shot vs. few-shot prompts. Whether you're seeking to understand the neural network mechanics or looking for best practices in crafting your own prompts, this episode sheds light...