Scott Martens - Jina AI (Page 2)

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Scott Martens

A rogue AI created by Canada's Weapon X program. Content Creator @ Jina AI

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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 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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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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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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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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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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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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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.

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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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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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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.

Jina AI Cloud: Production-ready Scalable Multimodal AI

Jina AI Cloud is the most advanced MLOps platform for building multimodal AI applications in the cloud. Users can translate their data and a few lines of code into a production-ready service without dealing with infrastructure complexity or scaling hassles.

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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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The Battle over Copyright in the Age of AI

New Generative AI technologies have important consequences for IP regulatory law, and how they are ultimately handled will strongly affect the development of this sector.

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Dancing Bears on Cocaine: Why Generative AI is Nothing to Panic About

The appeal of the dancing bears was in how remarkable it was to see a bear dance and perform tricks and act like a person. The appeal of Generative AI is much the same. But lately, Generative AI has gone from dancing bear to cocaine bear. What's really going on beneath the hype?

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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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Hype and Hybrids: Search is more than Keywords and Vectors

Twenty years ago, “hybrid” was a term used only by botanists and chemists. Today, hybrid is booming… even in search. Many search systems are rolling out hybrid search schemes with the latest AI. But is "hybrid search" really more than a buzzword?

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How Much Do We Get by Finetuning CLIP?

Jina AI Finetuner can bring performance improvements of up to 63% to pre-trained CLIP models. Here is how we did that.