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Navigating Language Models: A Practical Overview of Recommendations and Community Insights

Language models play a pivotal role in various applications, and the recent advancements in models like Falcon-7B, Mistral-7B, and Zephyr-7B are transforming the landscape of natural language processing. In this guide, we'll delve into some noteworthy models and their applications.

Model Recommendations

When it comes to specific applications, the choice of a language model can make a significant difference. Here are some notable recommendations:

  • Intel's SlimOrca is a dataset that has proven to be effective, particularly in specific domains. It's fine-tuned based on mistralai/Mistral-7B-v0.1 on the open-source dataset Open-Orca/SlimOrca. The fine-tuning process includes alignment with the DPO algorithm. For more details, you can refer to Intel's blog: The Practice of Supervised …
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ExLlamaV2: The Fastest Library to Run LLMs

Quantizing Large Language Models (LLMs) is the most popular approach to reduce the size of these models and speed up inference...

Among these techniques, GPTQ delivers amazing performance on GPUs. Compared to unquantized models, this method uses almost 3 times less VRAM while providing a similar level of accuracy and faster generation.

It became so popular that it has recently been directly integrated into the transformers library.

**ExLlamaV2** is a library designed to squeeze even more performance out of GPTQ. Thanks to new kernels, it’s optimized for (blazingly) fast inference. It also introduces a new quantization format, EXL2, which brings a lot of flexibility to how weights are stored.

This new format is based on the same optimization method as GPTQ and supports a range of …
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Exploring AI Models for Role-playing

If you're into role-playing and interactive fiction, there are several exciting AI models and projects worth checking out. Here's a roundup of some intriguing options:

  • KoboldCPP: You want to be running KoboldCPP, not ooba. Not only is it better optimized for pure CPU inference, but it has a lot of tools built in to facilitate RP. Setting up lorebooks and world info takes some time, but once done, it's pretty slick.
  • AI Roguelite: Something cool along these lines is AI Roguelite on Steam. It's a work in progress, offering a unique approach by handling mechanics on its own while using AI for text and multimedia generation. Choose between local or remote generation.
  • Goliath 120B: Consider checking out Goliath 120B, the best model for role-playing, especially for interactive fiction/RPG …
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Exploring Frontiers in Artificial Intelligence

When delving into the realm of artificial intelligence, one encounters a vast landscape of cutting-edge concepts and research directions. Here, we explore some fascinating areas that push the boundaries of what we currently understand about AI:

Optimal Solutions to Highly Kolmogorov-Complex Problems: Understanding the intricacies of human intelligence is crucial for AI breakthroughs. Chollett's Abstraction and Reasoning corpus is a challenging example, as highlighted in this research. For a formal definition of intelligence based on algorithmic complexity, check out this theoretical work.

Multi-Model Systems: The integration of various modalities in computer vision and natural language processing is a current trend. Adding reinforcement learning to the mix could be a stepping stone towards simple AGI. Self-supervised learning and curriculum learning also play pivotal roles in …
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StableCode LLM: Advancing Generative AI Coding

Exciting news for the coding community! StableCode, a revolutionary AI coding solution, has just been announced by Stability AI.

This innovation comes as a boon to developers seeking efficient and creative coding assistance. StableCode leverages the power of Generative AI to enhance the coding experience.

If you're interested in exploring the capabilities of StableCode, the official announcement has all the details you need.

For those ready to dive into action, there are already quantized models available:

If you're curious about how StableCode fares on the code generation leaderboard, you can find the results on the click here to read

Understanding the Web Integrity API Debate

Google's proposal for the Web Integrity API has generated a significant amount of discussion and controversy. This proposal aims to introduce a new API that would add functionality to web browsers, focusing on ensuring the integrity of the client environment.

However, the implementation of this API has raised concerns and debates among users and developers. Many proposals for new browser features are introduced every year, but they often only become meaningful when they reach production. The proposal can be found in the linked repository, along with a prototype standard.

One significant concern is that this API could potentially be evaded, as history has shown that measures introduced for security and monetization are often met with workarounds. Virtualizing and emulating hardware security measures could continue to challenge the effectiveness of such initiatives.

There is …
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UltraLM-13B on the Leaderboard

UltraLM-13B has now been tested on this open leaderboard. Click here to view the leaderboard. It's the 25th best 13B model on the leaderboard. If this is an accurate assessment, could its high AlpacaEval performance be a problem with UltraLM's dataset or an example of how bad AlpacaEval is and the concept of using LLMs to judge other LLMs? Edit: Quite bad on this leaderboard too. Here is the leaderboard.

Just have a look at the training dataset. If all of that was used during training it could be believed. That's 8 Gb of data! Here is the dataset.

UltraChat contains 1.5 million high-quality multi-turn dialogues and covers a wide range of topics and instructions.

This paper believes that the most …
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Suitable Open Source Recommendation Engine for Insurance Recommendations

When it comes to open source recommendation engines tailored for insurance recommendations, two popular choices are:

  • ActionML Engines: This open source project provides a collection of recommendation engines, including the Universal Recommender, which can be customized for insurance recommendations based on user behavior and other relevant data.
  • Cornac: Cornac is a flexible and scalable recommender system library in Python. It offers various recommendation algorithms that can be adapted to suit insurance recommendations by incorporating domain-specific features and data.

Both ActionML Engines and Cornac provide a solid foundation for building and customizing recommendation engines for insurance applications. You can explore their documentation, code repositories, and community support to determine which one aligns best with your requirements.

Tags: Insurance, Recommendation Engine

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Exciting News: Open Orca Dataset Released!

It's a moment of great excitement for the AI community as the highly anticipated Open Orca dataset has been released. This dataset has been the talk of the town ever since the research paper was published, and now it's finally here, thanks to the dedicated efforts of the team behind it.

The Open Orca dataset holds immense potential for advancing natural language processing and AI models. It promises to bring us closer to open-source models that can compete with the likes of GPT-4, which is a significant milestone in the field.

One of the key concerns in the community has been censorship and the need for uncensored variants. It's crucial for the dataset to strike the right balance between filtering out undesirable content and providing an open and uncensored training resource. The community eagerly awaits more …
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Exploring Outpainting: Enhancing Images with Stable Diffusion

Outpainting, a technique to expand the visual content of images beyond their original boundaries, has gained significant attention in the computer vision community. While this concept has been around for a while, recent advancements in AI models and inpainting techniques have brought about exciting developments in the field.

One such example is the application of Stable Diffusion, which allows us to zoom out images and fill the resulting blank areas with visually coherent content. This technique has been demonstrated using the Outpainting model by Graydient AI, which you can find here.

Additionally, ControlNet, a popular AI model, offers outpainting capabilities when properly configured.

Interestingly, you can achieve similar results even without specialized models. By manually resizing the canvas of an image and using a decent inpainting model at an adequate resolution, you …
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