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It summarizes major commercial and open-source players, notes practical access and usage constraints, and highlights IP considerations for organizational adoption. The resource also points to additional guides and a webinar for R&D leaders, covering both proprietary APIs and publicly available model ecosystems.",{"@graph":63,"@context":118},[64,80,101],{"@type":65,"itemListElement":66},"BreadcrumbList",[67,71,74,77],{"item":68,"name":69,"@type":70,"position":9},"https://docshare.wps.com","Home","ListItem",{"item":72,"name":10,"@type":70,"position":73},"https://docshare.wps.com/template/",2,{"item":75,"name":11,"@type":70,"position":76},"https://docshare.wps.com/template/presentations/",3,{"item":78,"name":59,"@type":70,"position":79},"https://docshare.wps.com/template/cheat-sheet-large-language-models-for-scientific-research-updated-august-2023/573253/",4,{"url":78,"name":59,"@type":81,"image":82,"author":87,"headline":59,"publisher":90,"fileFormat":93,"inLanguage":57,"description":61,"dateModified":94,"datePublished":95,"encodingFormat":93,"isAccessibleForFree":96,"interactionStatistic":97},"DigitalDocument",{"url":83,"@type":84,"width":85,"height":86},"https://docshare.wps.com/thumbnails/cheat-sheet-large-language-models-for-scientific-research-updated-august-2023/573253.png","ImageObject",442,249,{"name":88,"@type":89},"Nguyễn Văn Học","Person",{"url":68,"name":91,"@type":92},"DocShare","Organization","application/pdf","2026-10-19","2026-10-13",true,{"@type":98,"interactionType":99,"userInteractionCount":9},"InteractionCounter",{"@type":100},"ViewAction",{"@type":102,"mainEntity":103},"FAQPage",[104,110,114],{"name":105,"@type":106,"acceptedAnswer":107},"What is the purpose of this cheat sheet for researchers and R&D teams?","Question",{"text":108,"@type":109},"It provides a focused summary of large language models and related tools that are most relevant for R&D, helping scientists navigate available AI options and starting resources.","Answer",{"name":111,"@type":106,"acceptedAnswer":112},"Which major AI provider currently offers its LLMs as a commercial service?",{"text":113,"@type":109},"OpenAI is described as offering commercial access to its LLMs as a service, with access currently limited by invitation.",{"name":115,"@type":106,"acceptedAnswer":116},"What should organizations consider when exploring LLMs for R&D?",{"text":117,"@type":109},"The document advises keeping IP issues in mind and paying attention to licensing, access method, and commercial-readiness constraints for each model provider.","https://schema.org",{"og:url":78,"og:type":120,"og:title":59,"og:site_name":91,"og:description":61},"article",{"robots":122,"canonical":78},"index,follow",{"doc_id":124,"site_id":56},573253,1792382594,{"code":4,"msg":5,"data":127},{"doc_id":124,"user_id":128,"nickname":88,"user_avatar":129,"doc_module":9,"category_id":8,"category_name":11,"doc_title":59,"doc_description":61,"doc_content":130,"file_id":131,"file_url":132,"file_type":133,"file_size":134,"view_count":9,"is_deleted":4,"is_public":9,"is_downloadable":9,"audit_status":9,"page_count":76,"language":135,"language_code":57,"site_id":56,"html_lang":57,"table_of_contents":136,"faqs":137,"seo_title":138,"seo_description":61,"update_tm":139,"read_time":9},1374402739827,"https://ap-avatar.wpscdn.com/avatar/14000c97e7351f1a627?x-image-process=image/resize,m_fixed,w_180,h_180&k=1787885694763230660","Cheat Sheet | Large Language Models+ For Scientific Research  \nUpdated August 2023  \nLLMsand Tools for R&D  \nTo help scientists and researchers navigate the increasing number of advanced artificial intelligence (AI) options, Enthought experts have put together this summary of Large Language Models (LLMs) and related tools that are most relevant for R&D (updated in early August 2023) . We also recommend starting with these additional resources:  \nWhat Every R&D Leader Needs to Know About ChatGPT and LLMs on-demand webinar  \n[enthought.com/resource/webinar-what-every-rd-leader-needs-to-know-about-chatgpt-and-llms](enthought.com/resource/webinar-what-every-rd-leader-needs-to-know-about-chatgpt-and-llms)  \nThe Practical Guides for Large Language Models  \n[github.com/Mooler0410/LLMsPracticalGuide/tree/main](github.com/Mooler0410/LLMsPracticalGuide/tree/main)  \nThe Major Players  \nOf the major players in AI, only OpenAI is currently offering their LLMs as a commercial service, and then only by invitation (as of this writing) . However, many companies have experimental or non-commercial models to explore. Keep IP issues in mind with these.  \n[OpenAI](OpenAI-openai.com)[-](OpenAI-openai.com)[openai.com](OpenAI-openai.com)  \nOpenAI offers a variety of different LLMs and APIs addressing different use-cases, including fine-tuning models on your own data. Serious commercial use should be via the APIs, which are currently available by invitation.  \nMeta AI [LLaMA 2](LLaMA 2-github.com/facebookresearch/llama/blob/main/MODEL_CARD.md)[-](LLaMA 2-github.com/facebookresearch/llama/blob/main/MODEL_CARD.md)[github.com/facebookresearch/llama/blob/main/MODEL_CARD.md](LLaMA 2-github.com/facebookresearch/llama/blob/main/MODEL_CARD.md)  \nA collection of related LLMs released by Meta AI (Facebook) . Unlike version 1, version 2 is available for commercial and research purposes.  \n[Google Bard](Google Bard-bard.google.com)[-](Google Bard-bard.google.com)[bard.google.com](Google Bard-bard.google.com)  \nGoogle’s experimental LLM. No public APIs available yet, and chatbot conversations are used for further training, so not yet ready for commercial use.  \n[Amazon AlexaTM](Amazon AlexaTM-github.com/amazon-science/alexa-teacher-models)[-](Amazon AlexaTM-github.com/amazon-science/alexa-teacher-models)[github.com/amazon-science/alexa-teacher-models](Amazon AlexaTM-github.com/amazon-science/alexa-teacher-models)  \n[Amazon Science](Amazon Science)’[s](s) LLM, which can be accessed for non-commercial use via AWS SageMaker.  \n[Anthropic Claude-](Anthropic Claude-claude.ai)[claude.ai](Anthropic Claude-claude.ai)  \nUnique model because of its large context window (100k+ tokens), allowing it to answer questions about longer documents. API access is only available via inquiries. A chat interface is generally available, but conversations maybe used for further training, so not a commercial option.  \n[Hugging Face](Hugging Face-huggingface.co)[-](Hugging Face-huggingface.co)[huggingface.co](Hugging Face-huggingface.co)  \nHugging Face provides infrastructure support for LLM and other Machine Learning operations, including hosting, training and deployment of models. They also host some internally developed and open-source models, such as BLOOM.  \n[enthought.com](enthought.com) Page 1 of 3  \nOpen-Source LLMs  \nIf you want to train, fine-tune, or run a LLM on your own, there are a number of models available, ranging from older models from major AI companies to non-commercial research models, to some more recent, permissively licensed models.  \n[Google BERT](Google BERT-github.com/google-research/bert)[-](Google BERT-github.com/google-research/bert)[github.com/google-research/bert](Google BERT-github.com/google-research/bert)  \nOne of the first openly available transformer-based LLMs and available under the permissive Apache 2.0 license. BERT is the foundation for many of the tools for scientific applications of LLMs.  \n[OpenAI GPT-2](OpenAI GPT-2-github.com/openai/gpt-2)[-](O","cbCaij4mQYhMUnGT","https://ap.wps.com/l/cbCaij4mQYhMUnGT","pdf",452484,"English","# LLMs and Tools for R&D\n## To get started\n## The Major Players\n## Open-Source LLMs","[{\"question\":\"What is the purpose of this cheat sheet for researchers and R\\u0026D teams?\",\"answer\":\"It provides a focused summary of large language models and related tools that are most relevant for R\\u0026D, helping scientists navigate available AI options and starting resources.\"},{\"question\":\"Which major AI provider currently offers its LLMs as a commercial service?\",\"answer\":\"OpenAI is described as offering commercial access to its LLMs as a service, with access currently limited by invitation.\"},{\"question\":\"What should organizations consider when exploring LLMs for R\\u0026D?\",\"answer\":\"The document advises keeping IP issues in mind and paying attention to licensing, access method, and commercial-readiness constraints for each model provider.\"}]","Cheat Sheet - Large Language Models - For Scientific Research - Updated August 2023 | PDF",1791935804]