Why Opensource LLMs

Provided by: LotusChain-Ai (https://lotuschain.org)

Overview:

Open-source Large Language Models (LLMs) have the potential to revolutionize various aspects of life, making it easier for people to communicate, learn, and collaborate. As the world continues to evolve, the impact of open-source LLMs will only grow, leading to a brighter future for humanity.

Highlights:

• Improved Language Understanding: Open-source LLMs can enhance natural language processing, enabling machines to better comprehend human language and respond more accurately.

• Enhanced Accessibility: By being open-source, LLMs can be modified and adapted to suit the needs of various communities, making language modeling more accessible and inclusive.

• Faster Progress in AI Research: Open-source LLMs can accelerate AI research by providing a foundation for development, allowing researchers to build upon existing models and push the boundaries of what is possible.

• Increased Transparency and Accountability: Open-source LLMs promote transparency, as developers can contribute to and modify the models, ensuring accountability and trust in the technology.

• Cost-Effective Solutions: Open-source LLMs eliminate the need for licensing fees, making advanced language modeling technology more affordable and accessible to a wider range of organizations and individuals.

Result:

The future of life will be transformed by open-source LLMs, enabling:

• Improved Communication: Open-source LLMs can facilitate more accurate and efficient communication, bridging language gaps and enabling global connections.

• Enhanced Learning: By providing personalized learning aids and adaptive education tools, open-source LLMs can revolutionize the way we learn, making education more accessible and effective.

• Increased Collaboration: Open-source LLMs can bring together individuals and organizations from diverse backgrounds, fostering collaboration and driving innovation.

References:

1. “The Future of Language Models” by Meta AI (https://www.meta AI.com/blog/the-future-of-language-models)
2. “Open-Source Language Models: A New Era for AI” by Hugging Face (https://www.huggingface.co/blog/open-source-language-models)
3. “The Power of Open-Source AI” by Towards AI (https://towardsai.net/power-of-open-source-ai)
4. “Open-Source LLMs: A Game-Changer for Education” by Newsweek (https://www.newsweek.com/open-source-llms-game-changer-education-1795110)

Important Note: The content is based on recent research and analysis, and is subject to change as new information becomes available. The predictions made herein are for information purposes only and should not be considered as advice.

More references:

To make it easier for you to choose an open-source LLM for your company or project, we’ve summarized eight of the most interesting open-source LLMs available. We’ve based this list on the popularity signals from the lively AI community and machine learning repository, Hugging Face. 1. GPT-NeoX-20B.
https://www.elastic.co/blog/open-source-llms-guide

8 Top Open-Source Large Language Models For 2024. 1. LLaMA 3.1. Most top players in the LLM space have opted to build their LLM behind closed doors. However, Meta continues to be an exception with its series of open-source LLMs, which now includes the latest LLaMA 3.1.
https://www.datacamp.com/blog/top-open-source-llms

This article explores over 20 of the top open source LLMs, their key features, benchmarks, best use cases, number of parameters, and context length. Why Open Source LLMs are Better. Open source LLMs offer several compelling advantages over their proprietary counterparts, making them an increasingly attractive choice for a wide range of …
https://cheatsheet.md/llm-leaderboard/best-open-source-llm.en

MosaicML is committed to open-source innovation, which empowers developers and enterprises to leverage MPT-30B’s capabilities for diverse linguistic tasks. 13.Dolly 2.0. Dolly 2.0 is a new AI-powered language generation tool developed by LLM as an alternative to commercial offerings such as ChatGPT.
https://blog.spheron.network/top-15-open-source-llms-for-2024-and-their-uses

Open-source LLM platforms offer businesses greater flexibility, transparency, and cost savings than closed-source options. Enhanced data security and privacy: With open-source LLMs, organizations can deploy the model on their own infrastructure and, thus, have more control over their data. Cost savings: Open-source LLMs eliminate licensing fees, which makes them a cost-effective solution for …
https://www.simform.com/blog/open-source-llm/

The open-source nature of the LLMs discussed in this article demonstrates the collaborative spirit within the AI community and lays the foundation for future innovation. These models represent the current state-of-the-art in LLM technology. Open-source models will undoubtedly play a significant role in driving further advancements in this domain.
https://www.unite.ai/best-open-source-llms/

Large Language Models, or LLMs, are advanced computer programs that mimic human-like understanding and generation of text. Recently, open source LLMs have gained popularity, offering the freedom to use, modify, and enhance them, fostering innovation and wider accessibility. This article talks about the top open-source LLMs of 2024, showcasing their key features and benefits.
https://opencv.org/blog/open-source-llms/

Mistral Large 2, Llama 3.1, and Command R+ Currently Lead. Google, Meta, and Cohere models currently lead open source benchmarks and evaluation boards. These models are versatile foundation models to fine-tune for optimization across a wide range of use cases.
https://klu.ai/blog/open-source-llm-models

Developed by Meta AI, LLaMA is a collection of several open-source large language models that vary in size ranging from 7 to 65 billion parameters. The open-source LLM is available in various sizes, including 6.7 billion, 13.0 billion, 32.5 billion, and 65.2 billion parameters. Each model excels in different tasks, with the larger models …
https://addepto.com/blog/open-source-large-language-models-llm-in-2023-a-comprehensive-guide/

Feb 6, 2024. 7. LLMs are evolving at a rapid speed. Photo by Johannes Plenio on Unsplash. Since the 2017 paper “Attention Is All You Need” invented the Transformer architecture, natural language processing (NLP) has seen tremendous growth. And with the release of ChatGPT in November 2022, large language models (LLMs) has captured everyone …
https://pub.towardsai.net/which-open-source-llm-should-you-choose-in-2024-c3901ce02271

Benefits of Using Open-Source LLMs. The AI market is changing with the emergence of various open-source efforts due to the growing interest in generative AI. More than 10 large language models (LLMs) are scheduled for release this year. Open-source LLMs have drawn attention due to their accessibility, transparency, and cost-effectiveness.
https://www.upstage.ai/feed/insight/top-open-source-llms-2024

Reports have emerged showing that open-source LLMs are becoming more popular. a16z.com, for example, shows 41% of interviewed enterprises will increase their use of open-source models in their business in place of closed models. A further 41% will switch from closed to open if the open-source model matches the performance of closed models …
https://hatchworks.com/blog/gen-ai/open-source-vs-closed-llms-guide/

With that in mind, let’s look at some of the most promising open-source LLMs out there in 2024. GPT-NeoX. GPT-NeoX is an open-source LLM developed by EleutherAI. It is an autoregressive transformer decoder model with an architecture that largely follows GPT-3, but with a few notable deviations. The model has 20 billion parameters.
https://www.scribbledata.io/blog/the-top-10-open-source-llms-2024-edition/

Companies such as Meta, Google, Mistral AI, 01.ai, Microsoft, Alibaba and Alignment Lab AI (creators of OpenChat) are the most active groups releasing open source LLMs for commercial usage. For this article, we are going to use one of the leaderboards that is supposedly more aligned with humans. This is the .
https://dagshub.com/blog/best-open-source-llms/

Many open-source LLMs are large and complex, requiring significant computational resources to run effectively. This can be a barrier for individual users or organizations with limited computing power. Technical expertise. Utilizing and fine-tuning open-source LLMs often requires technical expertise in areas like machine learning and data science.
https://agentestudio.com/blog//top-open-source-llms

StarCoder is an interesting open-source LLM trained using data from GitHub (commits, issues etc) fine-tuned for coding tasks. It includes 15 billion parameters and trained on 80+ programming languages. Considering the data is from GitHub, you will need to add attribution wherever necessary when you use the model. 💡.
https://itsfoss.com/open-source-llms/

Comparison Chart: Open-source vs Closed-source LLMs. Evaluating the Business Impact of Open Source and Closed Source LLMs. 1. Scalability and Cost. 2. Integration and Customization. Why we think Open Source LLM’s are best. Conclusion. Innovate and Earn: Boundless Opportunities with Spheron’s $50,000 Bounty Program.
https://blog.spheron.network/choosing-the-right-llm-2024-comparison-of-open-source-vs-closed-source-llms

This article aims to explore the top open source LLMs available on the market in 2024. However, one year after the launch of Chat-GPT and the popularity of (proprietary) LLMs in the market, the open-source community has accomplished important milestones, with a wide range of open-source LLMs available for various tasks.
https://opensourcecollection.com/blog/top-5-open-source-llms-for-2024-and-their-uses

Vicuna 13-B. An open-source Large Language Model (LLM) called Vicuna 13-B is designed for scalable and effective language processing. It prioritizes efficiency and optimization while handling massive amounts of text data, utilizing transformer topologies. Uses and Applications.
https://www.analyticsvidhya.com/blog/2024/04/top-open-source-llms/

4. Wells Fargo. Wells Fargo has deployed open-source LLM-driven, including Meta’s Llama 2 model, for some internal uses, Wells Fargo CIO Chintan Mehta mentioned in an interview with me at …
https://venturebeat.com/ai/how-enterprises-are-using-open-source-llms-16-examples/