Tech Blog - Jina AI (Page 4)

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Tech Blog

A collection of 110 posts

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Langchain-serve: Bringing LangChain Apps Closer to Your Users

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

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What's Next for Prompt Engineering? PromptPerfect's Prompt as a Service!

Deploy prompts and flexible template prompts as REST API services, and integrate them into your applications with just a few clicks

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Tech Blog Featured

Traditional Prompt Engineering Is Dead. PromptPerfect is What Comes Next

AI is coming to replace even the prompt engineers. Use PromptPerfect to stay ahead of the crowd and optimize your prompts for LLMs and image generation

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Boosting AI Model Performance: Fine-tuning with Synthetic Data for Enhanced Results

Using Finetuner for data synthesis means that adapting your AI-powered information retrieval system to your domain is now as easy as collecting your logs.

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Inference: How Can Jina AI Offer the Best-in-Class Model-as-a-Service So Affordably?

Jina AI's Inference is an unparalleled, cost-effective model-as-a-service offering for multimodal AI. Here's why you should be using it.

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DocArray and Weaviate: Your Guide to Hybrid Search

Discover the power of hybrid search, a cutting-edge technology bridging keyword precision with vector versatility for a tailored search experience. Dive into how hybrid search works, its essential components, and using DocArray with Weaviate for optimized searches on your data.

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Gold Retriever: Let ChatGPT talk to your data

With Gold Retriever, you can easily enable ChatGPT to store, retrieve, and reason with your data in just a few steps

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Cross-modal search with ImageBind and DocArray

Combine ImageBind with DocArray to implement a cross-modal search system

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Do you want to play a game? Let's build Semantle with DocArray and GPT

Exploring DocArray v2 by building a word game using GPT

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Fine-Tuning: How To Get the Most of Your AI Investments

If you are looking at integrating AI into your business, fine-tuning is essential to getting the most value out of your AI investments. Jina AI can help with software, services, and consultants for organizations of all kinds, sizes, and technical experience.

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Tech Blog Featured

SceneXplain vs. MiniGPT4: A Comprehensive Benchmark of Top 5 Image Captioning Algorithms for Understanding Complex Scenes

Uncover the future of image captioning as SceneXplain and its rivals face off in an epic showdown. Explore their impact on accessibility, SEO, and storytelling, and dive into our intriguing results to witness the cutting-edge capabilities of these algorithms.

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Tech Blog Featured

SceneXplain: Unleash the Advanced Image Captioning & Storytelling

Uncover the game-changing potential of SceneXplain, an advanced image captioning solution powered by LLMs. Check out the benchmark against Midjourney, CLIP, BLIP2, and other alternatives. Dive into our blog post and experience the revolution firsthand!

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Supercharge Your LangChain Workflow with Jina AI’s Inference: Seamless Integration for Powerful Applications

How Jina AI's Inference integrates with LangChain, allowing developers to build cutting-edge applications with ease

DataTalksClub Open Source Spotlight x Jina AI

Jina AI NLP Engineer, Isabelle Mohr demonstrates the capabilities of Jina NOW in this datatalks.club open source spotlight!

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Reverse Engineering Image Prompts with PromptPerfect

Reverse engineer your image prompts for Midjourney, Stable Diffusion, and DALL-E 2

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AgentChain: Chain together models to perform complex tasks

AgentChain uses LLMs for planning and orchestrating multiple Agents or Large Models for accomplishing sophisticated tasks. AgentChain is fully multimodal: it accepts text, image, audio, tabular data

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Multimodal Visual Question Answering with BLIP-2 and Jina

LLMs aren't great for working with anything beyond text. But now you can serve BLIP-2 with Jina and DocArray, enhancing LLMs with visual understanding

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How to Deploy a Deep Learning Model with Jina (and design a kitten along the way)

How to build and deploy an Executor that uses Stable Diffusion to generate images.

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How to Personalize Stable Diffusion for ALL the Things

Jina AI's BIG metamodel lets you fine-tune Stable Diffusion to the next level, creating images of multiple subjects in any style you want

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Improving Search Quality for Non-English Queries with Fine-tuned Multilingual CLIP Models

Having trouble with non-English search queries? Fine-tuning your multilingual CLIP models may be the answer. In this post, we'll show you how Finetuner can be used on multilingual CLIP to improve search quality and give you better results.

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Want to Search Inside Videos Like a Pro? CLIP-as-service Can Help

Imagine an AI-powered grep command, one that could process a film and find segments matching a text. With Jina AI's CLIP-as-service, you can do that today. We'll show you how.

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Fine-tuning with Low Budget and High Expectations

Fine-tuning is highly effective, economical, and eco-friendly; or at least that's what all the deep learning tweets will tell you. Exactly how much data & time do you need to get a good result?

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A Guide to Using OpenTelemetry in Jina for Monitoring and Tracing Applications

In Jina 3.12 tracing and monitoring become much easier with built-in OpenTelemetry integration, leading to a quicker response time and faster turnaround time for fixing issues.

We're Donating DocArray to LF for an Inclusive and Standard Multimodal Data Model

DocArray is now hosted under the Linux Foundation AI & Data - a neutral home to build and support an open AI and data community. This is the start of a new day for DocArray.

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Benchmark Vector Search Databases with One Million Data

In DocArray, Documents inside a DocumentArray can live in a document store instead of in memory. External store provides longer persistence and faster retrieval. Ever wonder about which one is best for your use case? Here's a comprehensive benchmark to help guide you.