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The Only Prompting Framework for Every Use

Data AnalyticsFebruary 24, 202560Views 0Likes 0Comments

Image by freestockcenter on Freepik With the emergence of large language models, prompt engineering has become an essential skill. Put simply, prompting involves how humans interact with machines. Engineering the prompt suggests an effective way to communicate the requirement so that the machines’ responses are contextual, relevant, and accurate. The Framework The…

UniBench: A Python Library to Evaluate Vision-Language Models VLMs Robustness Across Diverse Benchmarks

AI NewsFebruary 24, 202558Views 0Likes 0Comments

Vision-language models (VLMs) have gained significant attention due to their ability to handle various multimodal tasks. However, the rapid proliferation of benchmarks for evaluating these models has created a complex and fragmented landscape. This situation poses several challenges for researchers. Implementing protocols for numerous benchmarks is time-consuming, and interpreting results across multiple evaluation metrics becomes…

The Evolution of SQL. Unlocking the power of large language… | by 💡Mike Shakhomirov | Aug, 2024

Data ScienceFebruary 24, 2025101Views 0Likes 0Comments

Unlocking the power of large language models Photo by ZHENYU LUO on UnsplashIn this article, I will examine how large language models (LLMs) can convert natural language into SQL, making query writing more accessible to non-technical users. The discussion will include practical examples that showcase the ease of developing LLM-based solutions. We’ll also cover various…

Retrieval-Augmented Generation Workflows

UncategorisedFebruary 24, 202580Views 0Likes 0Comments

Introduction Retrieval Augmented Generation, or RAG, is a mechanism that helps large language models (LLMs) like GPT become more useful and knowledgeable by pulling in information from a store of useful data, much like fetching a book from a library. Here’s how retrieval augmented generation makes magic with simple AI workflows: Knowledge Base (Input):…

What is Retrieval-Augmented Generation?

UncategorisedFebruary 24, 202555Views 0Likes 0Comments

In the AI space, where technological development is happening at a rapid pace, Retrieval Augmented Generation, or RAG, is a game-changer. But what is RAG, and why does it hold such importance in the present AI and natural language processing (NLP) world? Before answering that question, let's briefly talk about Large Language Models (LLMs).…

Into The Weeds of Artificial Intelligence | by Jonathan Cook | Aug, 2024

Human AiFebruary 24, 202576Views 0Likes 0Comments

A couple of days ago, the New York Times published an article by Emma Goldberg asking, “Will AI Kill Meaningless Jobs?” Goldberg begins the article with a techno-optimist’s perspective, suggesting that when generative AI destroys opportunities for humans to work, it’s an ultimately of benefit to human workers, because the jobs that are replaced by…

Strengthening Cold Chain Compliance Through Real-Time AI Monitoring

IoTFebruary 24, 202573Views 0Likes 0Comments

Maintaining strict temperature controls is paramount in cold chain logistics. The integrity of perishable goods, including food and pharmaceuticals, hinges on precise temperature management throughout the supply chain. However, traditional monitoring methods often fall short, leaving gaps that can lead to spoilage, financial losses and regulatory noncompliance. This situation is where real-time AI…

Using Cluster Analysis to Segment Your Data

Data AnalyticsFebruary 24, 202567Views 0Likes 0Comments

Image by Pexels Machine Learning (ML for short) is not just about making predictions. There are other unsupervised processes, among which clustering stands out. This article introduces clustering and cluster analysis, highlighting the potential of cluster analysis for segmenting, analyzing, and gaining insights from groups of similar data What is Clustering? In…

Data-Augmented Contrastive Tuning: A Breakthrough in Object Hallucination Mitigation

AI NewsFebruary 24, 202560Views 0Likes 0Comments

A new research addresses a critical issue in Multimodal Large Language Models (MLLMs): the phenomenon of object hallucination. Object hallucination occurs when these models generate descriptions of objects not present in the input data, leading to inaccuracies undermining their reliability and effectiveness. For instance, a model might incorrectly assert the presence of a “tie” in…

Gemma Scope: helping the safety community shed light on the inner workings of language models

OpenAIFebruary 24, 202564Views 0Likes 0Comments

Technologies Published 31 July 2024 …