Top 5 Open-Source LLMs For 2024 And Their Uses

The current ongoing generative AI revolution is unlike anything we have seen before and it could not have been possible without the Large Language Models (LLMs). According to a strong neural network that is called transformers, LLMs or AI systems that help to model and process human languages by virtue of their functionalities are employed. They are called “large” because of the huge number of parameters, of the order of millions for billions, that were used to train them using a massive corpus of written text (the text corpus). LLM, the foundation models for popular and largely-used chatbots are ChatGPT and Google Bard. ChatGPT is based on GPT-4 which is a proprietary LLM model developed by OpenAI.

Yet, a parallel movement in the LLM space is rapidly gaining pace: collaboratively and publicly shared LLM entities. This was sparked by growing concerns in the public regarding the absence of transparency and the restricted accessibility of proprietary LLMs, such as the ones employed in the products developed by tech giants such as Microsoft, Google, and Meta. 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. Continue exploring further to find the most liked ones!

What Is LLMs?

Large Language Models (LLMs) are highly sophisticated artificial intelligence systems developed for doing natural language processing and generation (NLP-G) tasks, such as understanding and producing human-like texts. These mechanisms use huge texts as their basis data through which they can identify patterns, comprehend language specifics, and create logical and comprehensible messages. 

Deep learning is the main technology used by LLMs in their architecture, involving analysis of data through artificial networks of neurons, working as close as possible to the human brain. In general, the main use of LLMs in natural language processing (NLP) is to allow computers to interact with humans using natural languages. They can dissect the statement, decipher its subject, and produce responses that fresh the meanings, and sound natural. 

Best Use Of Open Source LLMs

Open-source LLMs have the following Uses.

• Research: LLMs are of use in research as they assist researchers sort out the data and locate the needed information.

• Content Creation: Some of the new LLM models have made work managing content management quite possible. First, these models provide new thoughts and later they can also provide plagiarism-free content.

• Sentiment analysis: LLMs are good at distinguishing the sentiments of free-thinkers via their reviews, social media posts, etc.

• Chatbots: Language models can be retrained and customized for different chatbot applications, especially the customer support line, which helps Savvy bot users interact more smartly.

• Translations: By providing an LLM with information on languages there will be an improved accuracy of interpretations and a speeded-up process of interpretations.

List Of Best Open-Source LLMs for 2024 

We've made a list of the top five open source LLMs for you. The list contains modules that have been extracted from the flourishing AI community and the machine learning library, Hugging Face.

1. LLaMA 2

Done by the developers at Meta AI and Microsoft, Llama delves a vast corpus of information that is publicly available on data sources. The refined model named Llama Chat which is a GPT-2/3 chatbot uses public instruction datasets and one million human annotations. There is a trio of different sizes available based on the requirement - 7 trillion, 13 trillion, and 70 trillion parameters, which makes the model highly adaptable and scalable.

Read about 10 GPT-3.5 open-source alternatives now in this article…

Unlike Llama, Llama-2 matches up for scalability, efficiency, and performance in AI. It goes beyond chatbot usage as it is highly adaptable to be useful in text summarization, text and image inputs in the form of response, language content translation generation, and programming The given sentence has been humanized. It can also be useful in fighting in these areas,, such as, in research, education, and from-entertainment fields.

2. GPT-NeoX-20B

GPT-NeoX-20B, produced by EleutherAILMS, is certainly one of the most popular open source LLMs. This is a self-critical system collection that was reviewed and built on GPT-3's architecture. The model is trained on the Pile dataset, which is an open-source modeling dataset that has an overall size of 886 gigabytes. This Pile dataset is then divided into 22 sub-datasets for further processing.

These companies can use GPT-NeoX-20B whether they are large or small business enterprises that demand high-quality content. It performs fast training by multi-GPU training, which consequently brings a significant speedup of training times as well as model convergence. This feature offers flexibility in adopting LLM on specific task domains helping in the customization of the model for different kinds of applications. Its multi-lingual function also improved and the contextual information of different languages can be grasped and generated.

3. BLOOM

Bloom is a Universal multilingual language model by Big Science allowing diverse functions of languages and dialects to the arms level. It enables joint scientific missions to be done. And it contributes to the discovery of new knowledge. It is capable of Devising 176 billion parameters Sprouting text, summarization, embedding, classification and semantic search.

By strategy of a business interested in a global audience with diverse languages, localization can help them to cultivate and maintain higher customer loyalty. Ethical communication and cultural sensitivity are among the crucial criteria for Bloom. They must adhere to high standards of reputations and cultural variances with care. It also acts as a protective AI that blocks objectionable information as well as other non-cultural affective output. This AI-inspired research and innovation leap will transform the ecology of scientific studies and collaboration.

4. BERT

BERT, not the older version, is one of the modern LLMs that was developed by Google on Transformer architecture, is another breakthrough model in this area of research. In 2018, BERT came as the open source LLM having a maximum number of parameters up to 340 million, for instance. Acting as pre-boarding, the BERT model trains on unstructured documents and textual sources, such as the English Wikipedia and the Brown Corpus. For this reason, it stands out from other models.

This leads BERT to experience positive reinforcement, through self-learning from unlabelled text, even as it's used is being applied practically, like Google Search. BERT gives words and a sentence different meaning from both sides and from back to front in a sentence. Instead of doing it by using the Self-Attention mechanism, the model understands the dependencies among the words in a sentence, which helps in comprehending the relationships. It involves Word Masking which is based on the principle that words do not have a static and defined meaning, they make sense when fitting into the sentence context.

5. Falcon 40B and 180B

Technology and Innovation Institute, which is a part of the United Arab Emirates, released an offline open source LLM: Falcon-40B. Falcon which is an open-source and authentication licensed under the Apache License 2.0 is a free LLM model like GPT-2 which produces text from prompts based on the RefinedWeb dataset. It is reserved for those, who are researchers and commercial customers. Dove's excellent performance and scalability easily allow it to fit in growing enterprises that may require translation and international capabilities (which include website and marketing content creation, investment analysis, cybersecurity, etc.).

To the TII, UAE, lately, the test of Llama 2 from Meta and PaLM 2 from Google in the areas of reasoning, coding proficiency, and knowledge is lost in the shadow Falcon 180B makes. It has made this available on demanding terms, that is, it has licensed it as per the features of the Apache License 2.0. The Falcon 180B browser works in English, German, Spanish, and French as its primary languages, and makes limited use of Italian, Portuguese, Polish, Dutch, Romanian, Czech, and Swedish, respectively.

Wrap Up

Open-sourcing of LLMs can be considered as the most promising trend in the development of AI. Their speedy changing is an evident feature in the generative AI space which inspires hope that this area may not find itself at the mercy of the monopolies of the big players who can afford to build and use these powerful tools. Yet here we have just told you about the top five open-source LLMs, but the number is way higher and quite rapidly growing.

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