#llama 2

[datascienceunicorn]

Catching up on the weird world of LLMs

I gave a talk on Sunday at North Bay Python where I attempted to summarize the last few years of development in the space of LLMs—Large Lang

HT @dataelixir

[dr-iphone]

工程師挑戰老筆電極限！讓 20 年前上市的 PowerBook G4 也能成功跑 Meta AI 模型

軟體工程師 Andrew Rossignol 最近在他的部落格分享了一項令人驚艷的實驗「成功讓上市 20 年的老筆電也能跑生成式 AI 模型」！ Andrew Rossignol 使用 2005 年推出的 Apple PowerBook G4 ，硬體規格是已經有 20 年歷史的 1.5GHz PowerPC G4 處理器與 1GB 記憶體，雖然老筆電與現代的新筆電規格根本天差地遠，但是這款老筆電居然能執行 Meta 的 Llama 2 大型語言模型（LLM），展現令人意想不到的潛力。 Continue reading 工程師挑戰老筆電極限！讓 20 年前上市的 PowerBook G4 也能成功跑 Meta AI 模型

工程師挑戰老筆電極限！讓 20 年前上市的 PowerBook G4 也能成功跑 Meta AI 模型

[apcseo]

Meta and Microsoft Unveil Llama 2: An Open-Source, Versatile AI Language Model

In a groundbreaking collaboration, Meta and Microsoft have unleashed Llama 2, a powerful large language AI model designed to revolutionise the AI landscape. This sophisticated language model is available for public use, free of charge, and boasts exceptional versatility. In a strategic move to enhance accessibility and foster innovation, Meta has shared the code for Llama 2, allowing researchers to explore novel approaches for refining large language models.

Llama 2 is no ordinary AI model. Its unparalleled versatility allows it to cater to diverse use cases, making it an ideal tool for established businesses, startups, lone operators, and researchers alike. Unlike fine-tuned models that are engineered for specific tasks, Llama 2’s adaptability enables developers to explore its vast potential in various applications.

Microsoft, as a key partner in this venture, will integrate Llama 2 into its cloud computing platform, Azure, and its renowned operating system, Windows. This strategic collaboration is a testament to Microsoft’s commitment to supporting open and frontier models, as well as their dedication to advancing AI technology. Notably, Llama 2 will also be available on other platforms, such as AWS and Hugging Face, providing developers with the freedom to choose the environment that suits their needs best.

During the Microsoft Inspire event, the company announced plans to embed Llama 2’s AI tools into its 360 platform, further streamlining the integration process for developers. This move is set to open new possibilities for innovative AI solutions and elevate user experiences across various industries.

Meta’s collaboration with Qualcomm promises an exciting future for Llama 2. The companies are working together to bring Llama 2 to laptops, phones, and headsets, with plans for implementation starting next year. This expansion into new devices demonstrates Meta’s dedication to making Llama 2’s capabilities more accessible to users on-the-go.

Llama 2’s prowess is partly attributed to its extensive pretraining on publicly available online data sources, including Llama-2-chat. Leveraging publicly available instruction datasets and over 1 million human annotations, Meta has honed Llama 2’s understanding and responsiveness to human language.

In a Facebook post, Mark Zuckerberg, the visionary behind Meta, highlighted the significance of open-source technology. He firmly believes that an open ecosystem fosters innovation by empowering a broader community of developers to build with new technology. With the release of Llama 2’s code, Meta is exemplifying this belief, creating opportunities for collective progress and inspiring the AI community.

The launch of Llama 2 marks a pivotal moment in the AI race, as Meta and Microsoft collaborate to offer a highly versatile and accessible AI language model. With its open-source approach and availability on multiple platforms, Llama 2 invites developers and researchers to explore its vast potential across various applications. As the ecosystem expands, driven by Meta’s vision for openness and collaboration, we can look forward to witnessing groundbreaking AI solutions that will shape the future of technology.

This post was originally published on: Apppl Combine

[elbrunoc]

🦙 Harnessing Local AI: Unleashing the Power of .NET Smart Components and Llama2

Hi! .NET Smart Components are an amazing example of how to use AI to enhace the user experience in something as popular as a combobox. .NET Smart Components also support the use of local LLMs, so in this post I’ll show how to configure thse components to use a local Llama 2 inference server. The following image, show the Smart TextArea doing completions with a local server, in the right we can…

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[elbrunoc]

📎 Extending #SemanticKernel using OllamaSharp for chat and text completion

Hi! In previous posts I shared how to host and chat with a Llama 2 model hosted locally with Ollama. (view post). And then I also found OllamaSharp (nuget package and repo). OllamaSharp is a .NET binding for the Ollama API, making it easy to interact with Ollama using your favorite .NET languages. So, I decided to try it, and create a Chat Completion and a Text Generation specific…

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[macdailynews]

DBRX: Inside the creation of the world’s most powerful open source AI model

Startup Databricks just released DBRX, the most powerful open source large language model yet — eclipsing Meta’s Llama 2. DBRX is an open, general-purpose LLM. Across a range of standard benchmarks, DBRX sets a new state-of-the-art for established open LLMs. Moreover, it provides the open community and enterprises building their own LLMs with capabilities that were previously limited to closed…

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[elbrunoc]

#SemanticKernel – 📎Chat Service demo running Llama2 LLM locally in Ubuntu

Hi! Today’s post is a demo on how to interact with a local LLM using Semantic Kernel. In my previous post, I wrote about how to use LM Studio to host a local server. Today we will use ollama in Ubuntu to host the LLM. Ollama Ollama is an open-source language model platform designed for local interaction with large language models (LLMs). It provides developers with a convenient way to run LLMs…

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