Imagine you’re building a chatbot using OpenAI’s GPT-3.5-turbo, and you need it to extract specific information from users, asking one question at a time. Seems simple, right? But sometimes, crafting the perfect prompt to achieve this goal can be tricky. In this case study, we’ll explore how one client tackled this challenge and achieved the …
Update: Now with GPT-4 and GPT-3.5 support. Hey there, fellow Obsidian users! I’m excited to introduce you to Smart Chat, an amazing new feature of Smart Connections that will revolutionize how you interact with the notes in your Obsidian vault. If you’re unfamiliar with Obsidian, it’s an incredible note-taking platform that helps you store, manage, and connect your …
One of the most sought-after AI systems is one where you can easily query a knowledgebase via a ChatGPT-like interface. Basic Q&A with Embeddings Since you can’t fine-tune the newer, more conversational models like the ChatGPT API, embeddings are how you “train” them on your proprietary knowledge base. To create your embedding system, you must …
Q&A with ChatGPT + Embeddings – Basic & HyDE Examples Read More »
Importance of ChatML Language Roles in ChatML The system role Example ChatML The following is an example of ChatML in the JSON format: This example demonstrates the few-shot learning prompt using names in the system role: References
Making the Most of ChatGPT with Templates Is your workday feeling overwhelming? Are you looking for ways to help streamline and optimize the way your team works? ChatGPT can make all this achievable – and it’s easy! All you need are templates. Templates are pre-defined text blocks that allow you to quickly construct messages or …
Maximize Productivity with ChatGPT & Template-driven Conversations Read More »
“Pre-trained model” is the name I will use to refer to AI models made accessible by companies like OpenAI, with capabilities including text, image, and embedding generation. You can contrast these pre-trained models with custom models trained to solve a specific task using “big data.” It’s 2023, and there are still growing start-ups with billion-dollar …
Building a Competitive Advantage (Moat) for AI Start-ups in 2023 Read More »
As an entrepreneur and consultant, I’ve spent years designing systems and implementing machine learning (ML) strategies using pre-trained models like those provided by OpenAI. During this time, I’ve talked to many business leaders seeking to improve their businesses with artificial intelligence (AI) and have encountered a few common misconceptions about what Large Language Models (LLMs), …
Common Misconceptions about the Capabilities of ChatGPT & Large Language Models (LLM) Read More »
Are you looking to implement AI in your product or service but need help figuring out where to start? For example, are you deciding whether to fine-tune, prompt engineer, or train a custom model? It can be overwhelming with all the options and advancements in AI technology. However, maximizing flexibility and agility must be the …
Maximize Your AI Success: Embrace Flexibility and Agility Read More »
People commonly refer to fine-tuning when attempting to address their problems with AI. In a recent conversation with an OpenAI Ambassador, I was told that they “convince 90% not to use fine-tuning to solve their problem,” confirming my hunch that fine-tuning is one of the most misunderstood tools in AI. Fine-tuning is often more complicated and less …
Tools like the OpenAI Embeddings API are changing the way search is performed. Instead of matching keywords, a language model converts text into vectors. These vectors represent the text using hundreds or even thousands of dimensions mathematically. This way, when searching, matches can be made based on the underlying intent of the query instead of just keywords. …
