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Building a Simple VLM-based Multimodal Information Retrieval System with NVIDIA NIM

Algorithms, Articles, Multimodal, NVIDIA, Processors, Software, Tools /

This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. In today’s data-driven world, the ability to retrieve accurate information from even modest amounts of data is vital for developers seeking streamlined, effective solutions for quick deployments, prototyping, or experimentation. One of the key challenges in information retrieval […]

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AutoML Decoded: The Ultimate Guide and Tools Comparison

Algorithms, Articles, Software, Tools, Tryolabs /

This article was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. The quest for efficient and user-friendly solutions has led to the emergence of a game-changing concept: Automated Machine Learning (AutoML). AutoML is the process of automating the tasks involved in the entire Machine Learning lifecycle, such as data

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Zero-Shot AI: The End of Fine-tuning as We Know It?

Algorithms, Articles, Face Detection, Software, Tenyks, Tools /

This article was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. Models like SAM 2, LLaVA or ChatGPT can do tasks without special training. This has people wondering if the old way (i.e., fine-tuning) of training AI is becoming outdated. In this article, we compare two models: YOLOv8 (fine-tuning)

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Fine-tuning LLMs for Cost-effective GenAI Inference at Scale

Algorithms, Articles, Software, Tools, Tryolabs /

This article was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. Data is the new oil, fueling the AI revolution. From user-tailored shopping assistants to AI researchers, to recreating the King, the applicability of AI models knows no bounds. Yet these models are only as good as the data

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SAM 2 + GPT-4o: Cascading Foundation Models via Visual Prompting (Part 2)

Algorithms, Articles, Multimodal, Object Identification, Object Tracking, Software, Tenyks, Tools /

This article was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. In Part 2 of our Segment Anything Model 2 (SAM 2) Series, we show how foundation models (e.g., GPT-4o, Claude Sonnet 3.5 and YOLO-World) can be used to generate visual inputs (e.g., bounding boxes) for SAM 2. Learn

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Taming LLMs: Strategies and Tools for Controlling Responses

Algorithms, Articles, Software, Tools, Tryolabs /

This article was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. In the ever-evolving landscape of natural language processing, the advent of Large Language Models (LLMs) has ushered in a new era of possibilities and challenges. While these models showcase remarkable capabilities in generating human-like text, the potential for

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AI Disruption is Driving Innovation in On-device Inference

Aerospace and Defense, Articles, Automotive, Entertainment, Industrial Vision (Computer Vision), Multimodal, Robotics /

This article was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. How the proliferation and evolution of generative models will transform the AI landscape and unlock value. The introduction of DeepSeek R1, a cutting-edge reasoning AI model, has caused ripples throughout the tech industry. That’s because its performance is on

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From Brain to Binary: Can Neuro-inspired Research Make CPUs the Future of AI Inference?

Algorithms, Articles, Processors, Software, Tools, Tryolabs /

This article was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. In the ever-evolving landscape of AI, the demand for powerful Large Language Models (LLMs) has surged. This has led to an unrelenting thirst for GPUs and a shortage that causes headaches for many organizations. But what if there

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DALL-E vs Gemini vs Stability: GenAI Evaluations

Algorithms, Articles, Software, Tenyks, Tools /

This article was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. We performed a side-by-side comparison of three models from leading providers in Generative AI for Vision. This is what we found: Despite the subjectivity involved in Human Evaluation, this is the best approach to evaluate state-of-the-art GenAI Vision

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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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