Agents Autonomous Agents in the context of Large Language Models With Large Language Models (LLMs) implementations expanding in scope, a number of requirements arise: 1. The capacity to program LLMs and
Prompt Chaining There has been a recent surge in Visual Programming tools which enable developers to chain large language model prompts into an application, thus creating a conversational user interface. Introduction A
Intent Creation & Extraction With Large Language Models In previous articles, I argued that a data-centric approach should be taken when engineering training data for Natural Language Understanding (NLU). Building on this, this article will discuss the importance
Prior To Chatbot Deployment, It Is Essential that Intents are Ground-Truthed To Ensure Accuracy Reaching targeted levels of intent recognition can be quickly achieved by verifying intents before deployment, rather than adopting a corrective strategy as a response. Intro Each organisation has a benchmark
Prompt Drift & Chaining The notion to create workflows (chains) which leverage Large Language Models (LLMs) are necessary and needed. But there are a few considerations, one of which is Prompt Drift. Chaining, also
Generative AI & The New Category of LLM Powered Applications New approaches and tools built upon the strength of Generative AI are emerging to create engaging conversational experiences. For years, I have been exploring the Conversational AI landscape, analysing how
The Anatomy Of Large Language Model (LLM) Powered Conversational Applications In order to ensure the successful deployment of any application built on LLM API calls, it is essential to generate true business value from it. For successful scaling of applications
Google Cloud Vertex AI & Generative AI Google launched Vertex AI on 18 May 2021 at Google I/O & it seems like the product has faired well considering all the recent advances in LLMs and Generative AI
LLMs will not be taking the place of traditional chatbot NLU in the near future. NLU pipelines are well-honed and excel in extremely precise tweaking of intents and entities with no significant expense and rapid iteration cycles. I’m currently the Chief Evangelist @ HumanFirst. I
Five Advantages of NLU I gained an appreciation for the power of Natural Language Understanding (NLU) engines while experimenting with the predictive and classification capabilities of Large Language Models (LLMs). I’m currently the
Prompt Engineering, OpenAI & Modes What role can prompt engineering play in preventing LLM hallucination, and what constitutes a good LLM prompt? Furthermore, how are OpenAI's models impacting this? I’m currently the Chief Evangelist
NLU & NLG Should Go Hand-In-Hand Traditional NLU Can Be Leveraged By Following A Hybrid NLU & NLG Approach I’m currently the Chief Evangelist @ HumanFirst. I explore and write about all things at the intersection of
How To Create A Custom Fine-Tuned Prediction Model Using Base GPT-3 models LLMs can be divided into two categories: generative & predictive. The generative capabilities of LLMs have been the subject of much attention and discussion, and rightly so – they are incredibly impressive
Chat Markup Language (ChatML) Is Important For A Number Of Reasons Here I will discuss why ChatML, introduced alongside OpenAI's ChatGPT and Whisper APIs on 1 March 2023, is an important development that should not be overlooked. A short Recap The
Users of the ChatGPT API Will Need To Keep track Of Context ChatGPT is currently powered by gpt-3.5-turbo-0301, the most advanced OpenAI language model. Although OpenAI has made the API for this model accessible, the API does not automatically manage conversations
Example Code & Implementation Considerations For GPT 3.5 Turbo, ChatML & Whisper A while ago OpenAI has released the API for The LLM gpt-3.5-turbo, the same model used in ChatGPT. Additionally, the Whisper speech-to-text large-v2 model is available through an API
OpenAI Mode Specific Models OpenAI has implemented modes in their playground and development interface, each one having its own dedicated Large Language Model (LLM). OpenAI has been focusing on two key areas to introduce
HumanFirst & Cohere QuickStart Guide To start using the HumanFirst [https://www.humanfirst.ai] / Cohere [https://www.cohere.ai] integration you will need a Cohere [https://cohere.ai] API key...in order to get your
Follow-Up Interview With Cobus The following is a redacted interview between Greg (CEO @ HumanFirst [https://www.humanfirst.ai]) and Cobus Greyling (www.cobusgreyling.me [http://www.cobusgreyling.me/]); in this interview, we dig deep
Practical semantic search and clustering Semantic similarity is quickly becoming a mainstream technique for working with natural language data; embedding new examples into a latent space uncovers the relationship between them. PineCone.io [pinecone.io]
Interview with Cobus Greyling [Greg] HumanFirst is a big fan of yours Cobus :) I've personally been reading your blog [cobusgreyling.medium.com] for the last two years, and have learned a lot about everything
Intent Disambiguation We’re moving away from first-generation chatbots and into the world of complex conversational AI strategies as a means of interacting and delivering on multi-faceted customer requests. This means that
Articles Continuous AI Improvement With the emergence of platforms democratizing conversational AI, there’s a smaller hurdle to get a basic NLU model up and running. The real work starts when your conversational AI
Articles Why It’s Time to Move Beyond Sentiment Analysis The customer landscape is no longer represented by a one-dialogue offering. When customers share their feedback with you, they expect you to listen and act. That’s why many businesses
Articles The Importance of High-Quality Training Data In the new AI/NLU paradigm, businesses realize that complex algorithms will no longer sustain their competitive advantage. The advantage lies in the ability to curate and utilize high-quality training
