Analytics Vidhya

Exploring Civitai: Models, LoRA, and Creative Possibilities

mounish12439 — Tue, 03 Sep 2024 09:42:56 +0000

Introduction How cool would it be if there was a platform where your creative visions come to life with just a few clicks—a world where you can fine-tune cutting-edge AI models to craft stunning images uniquely yours? Welcome to Civitai, a vibrant platform dedicated to empowering creators by providing access to a vast and ever-growing […]

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What Makes Microsoft Phi 3.5 SLMs a Game-Changer for Generative AI?

badrinarayan6645541 — Sun, 01 Sep 2024 07:17:36 +0000

Introduction The newest model collection from Microsoft’s Small Language Models (SLMs) family is called Phi-3. They surpass models of comparable and greater sizes on a variety of benchmarks in language, reasoning, coding, and math. They are made to be extremely powerful and economical. With Phi-3 models available, Azure clients have access to a wider range […]

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AV Bytes: New Models, Research Advances, and Regulatory Debates

Aayush Tyagi — Sat, 31 Aug 2024 15:57:00 +0000

Introduction This week, the AI field saw significant updates as top companies unveiled new models and tools. AI21 Labs launched Jamba 1.5, AnthropicAI improved Claude 3, and Bindu Reddy introduced Dracarys, a coding-focused model. Researchers also made strides in prompt optimization and hybrid architectures, highlighting ongoing advancements that are set to transform AI capabilities and […]

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Improving Real-World RAG Systems: Key Challenges & Practical Solutions

ayushi9821704 — Fri, 30 Aug 2024 12:13:49 +0000

Introduction Retrieval-Augmented Generation systems are innovative models within the fields of natural language processing since they integrate the components of both retrieval and generation models. In this respect, RAG systems prove to be versatile when the size and variety of tasks that are being executed by LLMs increase, LLMs provide more efficient solutions to fine-tune […]

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What is Graph Database?

ayushi9821704 — Fri, 30 Aug 2024 10:52:59 +0000

Introduction As data scales and characteristics shift across fields, graph databases emerge as revolutionary solutions for managing relationships. Unlike relational databases that use tables and rows, graph databases excel in handling complex networks. Imagine a social network where members connect as friends, followers, or colleagues—graph databases shine in such interconnected data scenarios. This article provides […]

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Master Segformer: A Quick Guide to Clothes & Human Segmentation

Maigari David — Fri, 30 Aug 2024 10:38:29 +0000

Introduction A model that segments clothes and humans into different labels would have many applications today. This model’s ability is based on image processing and fine-tuning efficiency. Image processing is done in different ways, and that is where image segmentation comes into the illustration. This process involves grouping each pixel in an image and identifying […]

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A Comprehensive Guide to Python Functions Definition and Lambdas

Nikita Prasad — Fri, 30 Aug 2024 09:27:35 +0000

Introduction We have been discussing Python and its versatility. Now is the time to understand another functionality of this powerful programming language: it enhances code efficiency and readability. Maintaining the modularity of your code logic while working on a production-level program is important. Python Function definition allows the developers to achieve this by encapsulating the […]

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Test – Blogathon

Himanshi — Fri, 30 Aug 2024 06:17:40 +0000

Introduction Hallucination in large language models (LLMs) refers to the generation of information that is factually incorrect, misleading, or fabricated. Despite their impressive capabilities in generating coherent and contextually relevant text, LLMs sometimes produce outputs that diverge from reality. This article explores the concept of hallucination in LLMs, its causes, implications, and potential solutions. What […]

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10 Free Resources to Learn LLMs

ayushi9821704 — Thu, 29 Aug 2024 16:51:56 +0000

Introduction Suppose you are on the brink of a technological revolution, which is to embrace the Large Language Models (LLMs,) to unlock some incredible opportunities. As for many innovations from developing smart chatbots to analyzing data, LLMs are in the center of them. The good news? However, what people might not realize is that you […]

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Guide to Tool Calling in LLMs

Sunil Kumar Dash — Thu, 29 Aug 2024 10:19:37 +0000

Introduction LLMs are all the rage, and the tool-calling feature has broadened the scope of large language models. Instead of generating only texts, it enabled LLMs to accomplish complex automation tasks that were previously impossible, such as dynamic UI generation, agentic automation, etc. These models are trained over a huge amount of data. Hence, they […]

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