Mark and Allen explore TypeChat - a new library from Microsoft that makes prompt engineering for function-like operations in #ConversationalAI easier and more robust. Is this a replacement for Intents? Does it go beyond what we could do with Intent-based systems? Is it lacking something? Let's explore!

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What started as a casual conversation between Mark and Allen turned into a brief exploration of what Retrieval Augmented Generation (RAG) means in the #GenerativeAI and #ConversationalAI world. Toss in some discussion about VoiceFlow and Google's Vertex AI Search and Conversation and we have another dive into the current hot method to bridge the Fuzzy Human / Digital Computer divide.

Last week, before Google's annual hardware event, Allen teased part of his prediction about Google Assistant and Bard. This week, we'll show the full clip of Allen's prediction and see just how close he was. Then Mark and Allen discuss how recent announcements from OpenAI, Amazon Alexa, and Google compare to each other and, more important, what they each mean for developers in a #GenerativeAI, #ConversationalAI, and perhaps even a #VoiceFirst world, and perhaps make a few more predictions and what we'll hear next.

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The Google Cloud Next conference is a massive display of the latest technologies and products available from Google Cloud - from AI to Zero-Trust solutions. Unsurprisingly, #MachineLearning was prominent in this years show, so Mark and Allen take a look at some of the biggest #GenerativeAI and #ConversationalAI announcements this year.

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Mark shares the exciting news that Amazon Alexa will soon have a #VocieFirst #ConversationalAI LLM chat mode! While Allen agrees that this is very exciting news, he still has quite a few questions about how #GenerativeAI technology will fit into Alexa skills. We ask the difficult questions and see what answers are currently out there.

What do you think about this announcement from Alexa?

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Noble and Allen take a look back at our experiences at this years VOICE + AI conference. What were the big topics being discussed? The amusing moments? And what do we want to see next year?

#GenerativeAI #ConversationalAI #VoiceFirst

Allen and guest host Linda have a wide ranging conversation, from Linda's career path and her experiences as a Google Developer Expert for Google Analytics, to how she leveraged that knowledge while trying out something new with Google's #GenerativeAI tool, MakerSuite and the PaLM API. We take a close look at how developers can use prompts (more than one!) to help turn a user's request into actionable data structures that feed into an API and get results.

More from Linda:

#MakerSuiteSprint #LargeLanguageModel

We're just days away from the annual VOICE+AI conference, hosted this year in Washington, DC. Both Allen and Noble will be speaking (and hosting a live and in person recording of a future episode!), so we'll give a little preview of what you can hear if you're attending.

Allen and Mark revisit a conversation from episode 146 where they discovered Google had a Vector Database. Now, several months later, Allen has done some work with the Google Cloud Vertex AI Matching Engine and incorporated it into LangChain JS. We discuss why this is important, and how it fits into the overall landscape of LLMs and MLs today. (And Allen has a little announcement towards the end.)

More info:

* Matching Engine: https://cloud.google.com/vertex-ai/docs/matching-engine/overview

* LangChain JS: https://js.langchain.com/docs/modules/data_connection/vectorstores/integrations/googlevertexai

This seems like an easy question, right? If you want to do #ConversationalAI or #GenerativeAI on your own machine with a model such as Llama 2, you can just download the model and... well... then what? This is the question posed to guest host Noble Ackerson - and the answer was both more complicated and simpler than Allen could imagine!