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Enhancing Vision-Language Models with Chain of Manipulations: A Leap Towards Faithful Visual Reasoning and Error Traceability

AI NewsFebruary 17, 2024133Views 0Likes 0Comments

Big Vision Language Models (VLMs) trained to comprehend vision have shown viability in broad scenarios like visual question answering, visual grounding, and optical character recognition, capitalizing on the strength of Large Language Models (LLMs) in general knowledge of the world. Humans mark or process the provided photos for convenience and rigor to address the intricate…

A Weekend AI Project: Making a Visual Assistant for People with Vision Impairments | by Dmitrii Eliuseev | Feb, 2024

Data ScienceFebruary 17, 2024149Views 0Likes 0Comments

Running a multimodal LLaVA model, camera, and speech synthesis Image by Enoc Valenzuela, UnsplashModern large multimodal models (LMMs) can process not only text but also different types of data. Indeed, “a picture is worth a thousand words,” and this functionality can be crucial during the interaction with the real world. In this “weekend project,” I…

Master The Art Of Command Line With This GitHub Repository

Data AnalyticsFebruary 16, 2024144Views 0Likes 0Comments

Image by Author As a professional who works with data, I understand the importance of being efficient and accurate in the workplace. That's why I believe mastering the command line is an essential skill for streamlining data analysis tasks and improving productivity. It's equally important for regular users who want to optimize their…

Unveiling EVA-CLIP-18B: A Leap Forward in Open-Source Vision and Multimodal AI Models

AI NewsFebruary 16, 2024130Views 0Likes 0Comments

In recent years, LMMs have rapidly expanded, leveraging CLIP as a foundational vision encoder for robust visual representations and LLMs as versatile tools for reasoning across various modalities. However, while LLMs have grown to over 100 billion parameters, the vision models they rely on need to be bigger, hindering their potential. Scaling up contrastive language-image…

Meta vs. OpenAI: Large Open-source Models for Translation

Data ScienceFebruary 16, 2024185Views 0Likes 0Comments

Meta’s open-source Seamless models: A deep dive into translation model architectures and a Python implementation guide using HuggingFace This post was co-authored with Rafael Guedes. The growth of an organization is not limited to its country boundaries. Some organizations only sell or operate on external markets. This globalization comes with several challenges, one being how…

The Comprehensive Guide to AI in Invoice Data Capture

UncategorisedFebruary 16, 2024144Views 0Likes 0Comments

Traditional invoice processing methods often fall short in the ever-evolving landscape of business operations, where time is money and precision is paramount. Cumbersome, time-consuming, and prone to errors, manual invoice data capture has long been a bottleneck for businesses striving for efficiency. However, finance is changing, and artificial intelligence's transformative power marks a new era.…

What Is Procurement? Process, Strategies, and Automation

NanonetsFebruary 16, 2024160Views 0Likes 0Comments

Procurement is a pivotal function for any business upon which the pillars of strategic sourcing and cost management rest. This is more than just buying; it's about acquiring goods and services in a way that optimizes value for an organization. Ultimately, understanding and refining this process is essential for steering your business towards more profitable…

What Is Data Lineage, And Why Does It Matter?

Data AnalyticsFebruary 16, 2024170Views 0Likes 0Comments

Image by storyset on Freepik In any data pipeline, the data ingested from the sources typically goes through several transformations, so much that the data consumed from the destination is widely different from the data actually ingested from the source. Data lineage provides a comprehensive way to chart the flow of data through…

5 Bad Habits Killing Your Potential as a Data Engineer | by Madison Schott | Feb, 2024

Data ScienceFebruary 16, 2024132Views 0Likes 0Comments

And easy solutions that can immediately turn them around Photo by t Kaiser on UnsplashEvery data engineer wants to feel like they are constantly evolving as a professional and growing their technical skills. As data engineers we like to be challenged and feel we are progressing towards our end goal. This is the nature of…

Jupyter Notebook Magic Methods Cheat Sheet

Data AnalyticsFebruary 16, 2024145Views 0Likes 0Comments

After a period of anticipation, KDnuggets is excited to release a new cheat sheet for our community, this time spotlighting the indispensable Jupyter Notebook magic commands. These commands are integral for elevating efficiency in Jupyter Notebooks, a preferred environment for many data scientists and analysts. Magic commands are special instructions that expand upon the default…