Mon.Mar 04, 2024

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Google Apologizes Over Gemini’s ‘Unreliable’ Response on PM Narendra Modi

Analytics Vidhya

Introduction In a surprising turn of events, tech giant Google apologizes to India over the controversial results generated by its AI platform, Gemini, about Prime Minister Narendra Modi. The apology came after GOI sought to explain the AI’s questionable output. The reliability of the AI platform has been called into question, leading to a public […] The post Google Apologizes Over Gemini’s ‘Unreliable’ Response on PM Narendra Modi appeared first on Analytics Vidhya

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5 things you need to know about the SAS Hackathon boot camps

SAS Software

Hackathons continue to serve as bustling hubs where creativity meets problem solving. Among them is the SAS Hackathon, where teams collaborate to find the best solutions to a business or humanitarian challenge using SAS® tools. During SAS Innovate in Las Vegas, participants can join the SAS Hackathon boot camps for [.

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Indosat Ooredoo Hutchison and Tech Mahindra Collaborate to Develop Garuda LLM

Analytics Vidhya

Introduction Indosat Ooredoo Hutchison (IOH) and Tech Mahindra have partnered to create Garuda LLM, a Language Model (LLM) explicitly tailored for Bahasa Indonesia and its diverse dialects. It will be developed on the principle of Project Indus. A fundamental model crafted to engage in conversations across a diverse range of Indic languages and dialects.

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Redefining Evaluation: Towards Generation-Based Metrics for Assessing Large Language Models

Marktechpost

The exploration of large language models (LLMs) has significantly advanced the capabilities of machines in understanding and generating human-like text. Scaled from millions to billions of parameters, these models represent a leap forward in artificial intelligence research, offering profound insights and applications in various domains. However, evaluating these sophisticated models has predominantly relied on methods that measure the likelihood of a correct response through output probabilitie

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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

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2024’s top Power BI interview questions simplified

Pickl AI

Summary: Power BI is a leading data analytics platform offering advanced features like real-time analytics and collaborative capabilities. Understanding its significance is vital for aspiring Power BI developers. With its intuitive interface, Power BI empowers users to connect to various data sources, create interactive reports, and share insights effortlessly.

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A Balanced Look at the Advantages and Disadvantages of Artificial Intelligence

Great Learning

Artificial Intelligence (AI) stands at the forefront of technological innovation, permeating various aspects of our daily lives. From virtual assistants to predictive analytics, AI continues to reshape industries and societies. However, alongside its remarkable advancements come discussions regarding its potential benefits and drawbacks. In this blog, we embark on a journey to explore both sides […] The post A Balanced Look at the Advantages and Disadvantages of Artificial Intelligence app

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This AI Paper Introduces BABILong Framework: A Generative Benchmark for Testing Natural Language Processing (NLP) Models on Processing Arbitrarily Lengthy Documents

Marktechpost

Advances in the field of Machine Learning in recent times have resulted in larger input sizes for models. However, the quadratic scaling of computing needed for transformer self-attention poses certain limitations. Recent research has presented a viable method for expanding context windows in transformers with the use of recurrent memory. This includes adding internal recurrent memory to an already-trained language model and optimizing it for certain tasks involving lengthy contexts divided into