Tech Blog - Jina AI (Page 3)

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Tech Blog

A collection of 110 posts

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Look, Up in the Sky! Using SceneXplain To Classify Land Use From Satellite Data

Unlock the Secrets of the Satellites: Leverage SceneXplain's powerful 'Extract JSON from Image' feature for land use classification

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Jina Embeddings 2: The Best Solution for Embedding Long Documents

With Jina Embeddings 2 models you get high-quality embeddings from an open-source, downloadable model with an input size of 8,192 tokens.

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How to Caption Image Segments with SceneXplain: Introducing Crop'n Explain

SceneXplain: Precise image insights, webcam uploads, multi-API keys, and more user-friendly updates.

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Are you ready for this Jelly? SceneXplain’s new algo kills hallucinations dead

SceneXplain's state-of-the-art Jelly algorithm is more concise, readable and accurate than ever before, while killing hallucinations.

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How Embeddings Drive AI: A Comprehensive Presentation

Embeddings are a core concept and technology in AI, present in some form across the spectrum of AI applications. Properly understanding and mastering this technology positions you to leverage AI models to add the most value to your business.

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Tech Blog Featured

SceneXplain's Image-to-JSON: Extract Structured Data from Images with Precision

Pushing the boundaries of visual AI, we're thrilled to unveil SceneXplain's Image-to-JSON feature. Dive into a world where images aren't just seen, but deeply understood, translating visuals into structured data with unparalleled precision.

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Embeddings: The Swiss Army Knife of AI

Embeddings are an essential technology for modern AI. This article explains what they are and how they work.

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PromptPerfect's LLM-as-a-Database is Blurring the Boundaries of Search vs. Generation

Diving into PromptPerfect's LLM-as-a-database: a middle ground between few-shot prompts and RAG. Its nuanced approach outshines GPT-4 in complex queries. Evolution in action.

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Distilled AI: Using Large Models to Teach Smaller Ones

Better AI with smaller models and cheaper data costs! But only if you use AI to train AI.

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Tech Blog Featured

How SceneXplain Solved Video-to-Text Comprehension

Pushing the boundaries of video-to-text comprehension, SceneXplain unveils the Inception algorithm: decoding narratives, acknowledging challenges, and inviting firsthand exploration. Dive into the next frontier of video comprehension.

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Building a Streaming API for Llama 2: Real-time AI with Jina and DocArray

Tired of paying for ChatGPT? Want to have your own streaming AI chatbot, with your own engineered prompts running on your own servers or cloud? With Llama2, DocArray, and Jina, you can set it up in a few minutes!

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Tech Blog Featured

Training Smarter, Not Harder: Slimming Down Sentence Embeddings

Jina AI trains top-tier sentence embeddings with 20% of the data. How? Maniacal filtering and shrewd sampling unmask the waste in Big Tech's data-hungry doctrine. Our streamlined embeddings rival titans' with meticulous curation, not mindless consumption. Technical ingenuity, not gluttony.

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Beyond Pixels to Prose: SceneXplain's New Algorithm Breathes Audible Life into Images

Discover the power of SceneXplain's Hearth Algorithm: turning images into captivating narratives. Dive deep into the tech behind it, explore real-world examples, and grasp its potential. Journey beyond pixels to stories at SceneXplain!

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From Words to Art: Create Your Dream Stickers with Stable Diffusion

Dive into the world of Stable Diffusion and Prompt Engineering by fine-tuning your own LoRA, converting your words into stunning art and bringing your dream stickers to life.

A Guide for Super-Resolution- Ordinary to Extraordinary with Inference

Dive into the realm of generative AI as we unravel, compare, and implement super-resolution models for image upscaling on Jina AI Cloud.

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Taming OpenAI's Function Call: A Dive into PromptPerfect's Function Debugger

Discover how PromptPerfect simplifies function calls in OpenAI's language models, offering auto JSON Schema generation, advanced debugging, and more.

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Fine-Tuning Falcon40b for Code Generation

Falcon40b is an open-source commercial-use friendly large language model. We've trained it to write code.

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Read My Pics: SceneXplain Puts OCR in Your Visual Question Answering!

We're turbocharging SceneXplain's visual question answering with an OCR upgrade, making it easier than ever to get answers out of your images

VectorDB: a Python vector database you just need - no more, no less

VectorDB is a Pythonic vector database offers a comprehensive suite of CRUD operations and robust scalability options, including sharding and replication. It's readily deployable in a variety of environments, from local to on-premise and cloud. vectordb delivers exactly what you need.

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Tech Blog Featured

Redefining Text-to-Image: How BestBanner Outperforms Midjourney and Stable Diffusion - A Benchmark Analysis

BestBanner is an AI-powered text-to-image generation system. It takes article text as input and generates high-quality social media banners. This saves you from the task of crafting images and lets you focus on creating content.

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LangChain-serve: Powering your Slack with LangChain

Langchain-serve makes deployment and delivery of LangChain apps simple, taking one less hassle out of producing your AI applications.

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DocArray and the Otter Model: Native multi-modal AI meets native multi-modal data structures

We all love when a perfect couple finds each other, like DocArray and Otter.

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Brand Engagement Reimagined: AI-Powered Sentiment Analysis with SceneXplain

Digging deep into images to uncover sentiment and brand can be a wild ride. Tackle it with SceneXplain, and you've got yourself a business power-up, ready to take the market by storm

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Making Visuals Vocal: SceneXplain's Impact on Product Image Accessibility

SceneXplain transforms product images into audio descriptions, ensuring visual content isn't just seen, but also heard and understood. It's a step forward in creating an inclusive digital world for everyone

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Don’t Build the Thing, Build the Thing that Builds the Thing!

Dev-GPT is a tool that uses LLMs to build custom microservices, replacing the traditional software development process with AI. Just describe a service in natural language and a virtual development team will generate, debug, and deploy it for you.