"Lost in the middle" Problem Solved in Language Models?

More topics: Apple's European Secret AI Lab, and GitHub Copilot Workspace

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6 min read

"Lost in the middle" Problem Solved in Language Models?

Hi AI Enthusiasts,

Welcome to this week's Magic AI, where we bring you exciting updates from the world of Artificial Intelligence (AI). A lot has happened in the last week.

This week's Magic AI tool is a productivity powerhouse. Anyone who hasn't tried it yet should try it! Absolutely a recommendation!

Let's explore this week's AI news together. Stay curious! 😎


In today's Magic AI:

  • Apple's European Secret AI Lab

  • "Lost in the middle" problem solved in language models?

  • What is GitHub Copilot Workspace?

  • Online Course: Learn Coding - Ignite Your Tech Future

  • Magic AI tool of the week

  • Hand-picked articles of the week


📚 Our Books and recommendations for you

Our Books and recommendations for you


Top AI news of the week

🍎 Apple's European Secret AI Lab

According to the Financial Times, Apple is setting up a secret European AI lab in the Swiss city of Zurich. Many employees at the lab are reportedly Ex-Google AI experts. An analysis of LinkedIn profiles shows this.

The lab focuses on the development of image recognition algorithms and multimodal language models. Apple has published several papers on multimodal language models in the last months.

Our thoughts

We are excited to see what Apple will present in June at the WWDC. We expect an upgraded Siri and many smart AI integrations in the operating systems. In our opinion, this year could be the big AI year for Apple. The expectations are high, and that's why we think that we see many AI innovations.

One thing is clear: Apple must deliver to avoid being left behind. And we think Apple will!

More information


💬 "Lost in the middle" problem solved in language models?

Many modern large language models (LLMs) can process long inputs. However, they still struggle to fully utilize the information within the long context, known as the lost-in-the-middle problem.

Microsoft researcher and researcher of the University of Peking addresses this problem in a new paper called "Make Your LLM Fully Utilize the Context". For this, the model needs a second training process called INformation-INtensive (IN2) training. This method trains the model to focus more on the information in the middle.

The researcher used the open-source model Mistral-7B as a basis. They call the model after the IN2 training FILM-7B (FILI-in-the-Middle). At the moment the model is under internal review, and they want to release it as soon as possible.

In the following, you can see the performance of FILM-7B compared with Mistral-7B-Instruct-v0.2, and GPT4-Turbo.

Performance of FILM-7B compared with Mistral-7B-Instruct-v0.2, and GPT4-Turbo

Image from the paper

FILM-7B significantly reduces the problem of information loss in the middle of the context.

Our thoughts

There are some problems with current large language models. These include hallucinations and the "lost in the middle" problem addressed in the paper. The method in the paper seems to have solved the problem, without producing poorer results in general. In our opinion, this is a big step towards consistency in LLM outputs.

If you are interested in the exact solution, you should look at the GitHub repo and the paper.

More information


👩🏽‍💻 What is GitHub Copilot Workspace?

GitHub launched Copilot Workspace. It is a new AI-powered developer environment where developers can brainstorm, plan, build, test, and run code in natural language. The function integrates directly into GitHub repos and enables developers to describe goals in natural language.

According to the blog article, Copilot Workspace is "designed to deliver – not replace – developer creativity, faster and easier than ever before". With GitHub Copilot Workspace, developers will have AI assistance from the beginning. The tool can generate step-by-step plans to solve "issues based on its deep understanding of the codebase, issue replies, and more". Best of all, every step is editable by the developers. So, the developer is always in control.

A sneak peek 👇🏽

Our thoughts

AI-assisted software development is the future. It can speed up the development process massively. However, we must ensure that the developer has control over the code. Developers still need to understand what the code sections do. AI is a great assistant that can simplify the work processes of developers.

✍🏽 What is your opinion on AI assistants for developers? Which AI tools do you already use as a developer?

More information


🎓 Learn Coding - Ignite Your Tech Future

In a digital age, coding is your gateway to a prosperous future. Boost your job security and break into exciting new careers - no prior degree required. Discover the course: Hello Coding - Anyone Can Learn to Code*.

Learn Coding - Ignite Your Tech Future*

Most of today’s top coders started just like you! It is a completely self-paced online learning course. All Resources Included: Every tool, every file, yours forever.

Here you’ll discover:

  • Web Dev: Design, build & monetize websites, and discover affiliate marketing.

  • Python: Step into high-paying roles such as data scientist or machine learning engineer.

  • App Dev: Create apps and harness revenue streams like ads or in-app purchases.

👉🏽 Enroll today and take the next step in your Coding career.*


Magic AI tool of the week

🪄 Notion AI - Boost your productivity with AI

Notion AI* is a feature of Notion that helps you write and create content. It is like your personal assistance. Notion offers a number of AI features.

Here are some of the best features:

  • Draft with AI: The AI can help you to write Social Media about a specific topic. This is a game changer in content creation.

  • Generate from page: In this category, you will find, for example, functions for summarizing or translating texts.

  • Edit or review page: The features of this category help you to improve your writing. Examples: Fix spelling and grammar, change tone, or simplify your language.

  • Insert AI blocks: You can also insert AI blocks. AI blocks are predefined instructions that you can execute later. These blocks are useful for Notion templates.

Below, you can see Notion AI in action.

Notion AI Demo

If you would like to learn more about Notion AI, you are welcome to read our comprehensive review article.

👉🏽 Try Notion today to take your productivity to the next level!*


Articles of the week

📖 You might also be interested in these blog articles:


Thanks for reading, and see you next time.

- Tinz Twins

P.S. Have a nice weekend! 😉😉

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* Disclosure: The links are affiliate links, which means we will receive a commission if you purchase through these links. There are no additional costs for you.