Andrey Kolobov’s Post

As more businesses turn their hand to Generative AI, testing is a crucial step for many wanting to adopt the technology in a safe and secure way. 🔍 Mesh-AI Product Consultant Brett King 🧠 discusses the desire to answer the uncertainty around applying LLMs to real-world business challenges. He emphasises the importance of utilising the expertise around you, allowing time for experimentation and how size isn't everything. Read more here>>> https://lnkd.in/e5cEnzft

The Generative AI Revolution: Exploring the Current Landscape While today’s generative models are built upon a decade of progress, 2022 was the year when generative AI triggered an “Aha!” moment. Based on discussions about this new era of human-machine cooperation, important questions arise, such as why now, and what’s next? This post explains the journey of how it all started, where it is going, and some of the biggest players and most popular models in the Generative AI landscape today, along with real-world tools designed for users to optimize creation, ideation, development, and production processes. https://lnkd.in/erZS4Yf6

A very helpful glossary for business leaders to understand the new vocabulary for generative AI. Something which is now becoming widely used in conversation daily.

We're thrilled to share our latest thought paper on Generative AI. Our in-depth exploration of Large Language Models (LLMs) delves into their methodologies, evolutionary journey, and the myriad uses spanning diverse industries and functions. Learn more about this exciting technology and how it's changing the game. Check out our paper now!'''. #generatieveai #genai #llms #cognitiveautomation https://lnkd.in/gsJmW_7n

There are a lot of exciting generative AI use cases in the contact center, but it's not the only type of AI that contact center leaders can benefit from. In our latest blog, we break down: 💡Different AI terms to know 💡The top AI use cases for contact centers 💡Our perspective on how you can use generative AI and machine learning together to improve the agent and customer experience.= Check it out here: https://bit.ly/4bnsmMk #AI #generativeAI #machinelearning #contactcenters

Creating AI-Driven Solutions: Understanding Large Language Models As we navigate the process of building AI-driven solutions, it is essential to approach the development and deployment of LLMs with a focus on responsible AI practices.

More Gen AI? Here's what we've learned from hundreds of customer conversations about how organizations are approaching generative AI.

Here's what we have learned from hundreds of customer conversations about how organizations are approaching generative AI. #googlecloud #ai

A helpful guide for those starting out on their AI journey

In 2017 I got the chance to work on AI, when I started designing conversation flows for Chatbots. Chatbot is one area which always fascinated me, especially the aspects of conversation design.   In 2023, I felt the need to refresh myself, and a good way to start was to read on Gen AI.   In the last few months, I observed that words such as GPT, Chat GPT, Large Language Models, Gen AI etc. are used very often. The Generative AI Learning Path at Google is a great way to understand the concepts of Gen AI and its application. It will help in building the right narrative and also use these words in the right context. Here are my 3 takeaways from these courses -   1. Understanding what is Gen AI, its relationship with AI and Machine Learning, working of Gen AI.   2. Meaning and applications of Large Language Model, different types of LLM's how it is different from Traditional Language Model. 3. Understanding aspects of Prompt Design & Prompt Engineering.   4. Finally, what is meant by Responsible AI? Why it is important? Key Guiding Principles of designing and using AI applications. https://lnkd.in/gkZBc9f7