LLM

Understanding Chain-of-Thought Prompting: A Revolution in Artificial Intelligence

Understanding Chain-of-Thought Prompting: A Revolution in Artificial Intelligence

What is Chain-of-Thought Prompting? Chain-of-Thought Prompting is a method that guides language models through a series of logical steps to arrive at an answer or solution. Unlike traditional approaches where models generate responses directly, CoT encourages models to “think out loud,” detailing their reasoning process before formulating a conclusion. How It Works Problem Decomposition: The model is encouraged to break down a complex problem into simpler sub-problems. Reasoning Sequences: By stimulating thought sequences, the model can approach questions in a more structured manner. Iterative Reflection: The model can revise and refine its answers based on new information or identified errors.…
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Google uses AI to add 110 new languages to Translate

Google uses AI to add 110 new languages to Translate

While Google Translate is far from perfect, it's still a helpful way to gain information or engage in conversation. Now, that option is expanding as Google uses AI to give Translate 110 new languages, such as Cantonese, Punjabi (Shahmukhi) and NKo. About a quarter of the languages come from Africa and Google claims that all the new ones together represent 614 million speakers — about eight percent of the global population.Google credits its LLM, PaLM 2, as "a key piece to the puzzle, helping Translate more efficiently learn languages that are closely related to each other, including languages close to…
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Let’s Build Small AI Buzz, Offer ‘Claim Processing’ to Mid/Big Companies

Let’s Build Small AI Buzz, Offer ‘Claim Processing’ to Mid/Big Companies

Discover How AI Can Transform Businesses, Every Details Spelled Out. Full Article Artificial Intelligence (AI) is rapidly reshaping business landscapes, promising unprecedented efficiency and accuracy across industries. In this article, we delve into how Aniket Insurance Inc. (Imaginary) leverages AI to revolutionize its claim processing operations, offering insights into the transformative power of AI in modern business environments. ➡️ What’s This Article About? The article explores how Aniket Insurance Inc. uses AI to transform its claim processing. It details the three main workflows: User claim submission, Admin + AI claim processing, and Executive + AI claim analysis. ➡️ Why Read…
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How Retrieval Augmented Generation (RAG) Work

How Retrieval Augmented Generation (RAG) Work

Retrieval Augmented Generation (RAG, pronounced 'rag') works by fetching selective data from a custom knowledge base and integrating it with the output of a language model to provide accurate and up-to-date responses.RAG can be defined as a ChatGPT-like interface that can use your pdfs, documents or databases to answer questions from you. You can use it as a study assistant to understand documents by asking questions about those documents. In this article, we discuss the benefits of using a RAG system and explain its key components. We also detailhow RAG works to enhance the capabilities of large language models by…
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Our New Conversational AI Forrester Wave™: GenAI And LLMs Drive A Vendor Revolution

Our New Conversational AI Forrester Wave™: GenAI And LLMs Drive A Vendor Revolution

Let me start by stating the obvious: Automation has its best home in the contact center. At many brands, agents make up 10% of the workforce. They are the face of your brand to your customers, providing critical empathy and solving important problems. Agents also spend a lot of time performing rote tasks for customers that really should not require a human. The cost of an automated interaction is generally about a tenth of the cost of a conversation with an agent. This cost differential provides gaudy ROI numbers, prompting brands to implement chatbots and interactive voice response (IVR) systems…
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Optimizing Databricks LLM Pipelines with DSPy

Optimizing Databricks LLM Pipelines with DSPy

If you’ve been following the world of industry-grade LLM technology for the last year, you’ve likely observed a plethora of frameworks and tools in production. Startups are building everything from Retrieval-Augmented Generation (RAG) automation to custom fine-tuning services. Langchain is perhaps the most famous of all these new frameworks, enabling easy prototypes for chained language model components since Spring 2023. However, a recent, significant development has come not from a startup, but from the world of academia. In October 2023, researchers working in Databricks co-founder Matei Zaharia’s Stanford research lab released DSPy, a library for compiling declarative language model calls into…
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