{"id":7536,"date":"2023-09-19T08:00:01","date_gmt":"2023-09-19T16:00:01","guid":{"rendered":"https:\/\/live-cometml.pantheonsite.io\/?p=7536"},"modified":"2025-04-24T17:14:01","modified_gmt":"2025-04-24T17:14:01","slug":"large-language-models-navigating-comet-llmops-tools","status":"publish","type":"post","link":"https:\/\/www.comet.com\/site\/blog\/large-language-models-navigating-comet-llmops-tools\/","title":{"rendered":"Large Language Models: Navigating Comet LLMOps Tools"},"content":{"rendered":"\n<figure class=\"wp-block-image xa xb xc xd xe xf le lf paragraph-image\"><img decoding=\"async\" src=\"https:\/\/miro.medium.com\/v2\/resize:fit:700\/1*FNpWXnT5pOwX0wXZj2WM4w.png\" alt=\"\"\/><figcaption class=\"wp-element-caption\">Image by Author<\/figcaption><\/figure>\n\n\n\n<p class=\"pw-post-body-paragraph xq xr sy be b xs xt xu xv xw xx xy xz mf ya yb yc mk yd ye yf mp yg yh yi yj em bj\" id=\"262f\">Hey there! I\u2019m so excited to talk to you about Language Models! They\u2019re these incredible creations called Large Language Models (LLMs) that have the power to understand and generate human-like text. It\u2019s like having a conversation with a machine that can understand what you\u2019re saying and respond meaningfully. How cool is that?<\/p>\n\n\n\n<p class=\"pw-post-body-paragraph xq xr sy be b xs xt xu xv xw xx xy xz mf ya yb yc mk yd ye yf mp yg yh yi yj em bj\" id=\"a254\">LLMs are part of the GPT-3.5 family developed by OpenAI. They have been trained on massive text data, absorbing information from books, articles, websites, and more. But don\u2019t worry; they are not just robotic encyclopedias. They\u2019ve been designed to engage in dynamic and personal conversations; you can think of it as your friendly and knowledgeable digital companion, here to help answer your questions, spark interesting discussions, or even assist with creative tasks. It can provide information on various topics, share insights, and offer suggestions. Whether you\u2019re curious about the latest news, want to dive into scientific concepts, or seek advice on everyday life.<\/p>\n\n\n\n<p class=\"pw-post-body-paragraph xq xr sy be b xs xt xu xv xw xx xy xz mf ya yb yc mk yd ye yf mp yg yh yi yj em bj\" id=\"308c\">One of the most fascinating aspects of LLMs is the ability to generate text that sounds remarkably human. It has been trained to understand context, infer meaning, and produce responses that align with the conversation. So, when you\u2019re chatting with it, it\u2019s like talking to someone well-informed and ready to engage in a genuine discussion.<\/p>\n\n\n\n<p class=\"pw-post-body-paragraph xq xr sy be b xs xt xu xv xw xx xy xz mf ya yb yc mk yd ye yf mp yg yh yi yj em bj\" id=\"5834\">Of course, it\u2019s important to remember that while LLMs like me are pretty impressive, it is not flawless. It may occasionally generate responses that aren\u2019t entirely accurate or misunderstand specific nuances. However, it constantly learns and improves through feedback, so the more you interact with it, the better it will understand your needs and provide valuable insights.<\/p>\n\n\n\n<p class=\"pw-post-body-paragraph xq xr sy be b xs xt xu xv xw xx xy xz mf ya yb yc mk yd ye yf mp yg yh yi yj em bj\" id=\"75e7\">This article will discuss navigating the <a class=\"af gt\" href=\"https:\/\/www.comet.com\/site\/\" target=\"_blank\" rel=\"noopener ugc nofollow\">Comet<\/a> LLMOps tool, the new LLM SDK, and much more. Let\u2019s get started!<\/p>\n\n\n\n<h1 class=\"wp-block-heading yk yl sy be ym yn yo yp lz yq yr ys me yt yu yv yw yx yy yz za zb zc zd ze zf bj\" id=\"9ef1\">Comet LLMOps<\/h1>\n\n\n\n<p class=\"pw-post-body-paragraph xq xr sy be b xs zg xu xv xw zh xy xz mf zi yb yc mk zj ye yf mp zk yh yi yj em bj\" id=\"ed30\"><a class=\"af gt\" href=\"https:\/\/www.comet.com\/site\/products\/llmops\/\" target=\"_blank\" rel=\"noopener ugc nofollow\">Comet\u2019s LLMOps<\/a> tools allow users to leverage the latest advancements in Prompt Management and query models in Comet to iterate quicker, identify performance bottlenecks, and visualize the internal state of the Prompt Chains.<\/p>\n\n\n\n<p class=\"pw-post-body-paragraph xq xr sy be b xs xt xu xv xw xx xy xz mf ya yb yc mk yd ye yf mp yg yh yi yj em bj\" id=\"262d\">Comet\u2019s LLMOps tools are focused on quicker iterations for the following:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong class=\"fn be\">Prompt History: <\/strong>Keeping track of prompts, responses, and chains is critical to understanding and debugging the behavior of ML products based on Large Language Models. Comet\u2019s LLMOps tool provides an intuitive and responsive view of our prompt history.<\/li>\n\n\n\n<li><strong class=\"fn be\">Prompt Playground: <\/strong>With the LLMOps tool comes the new Prompt Playground, which allows Prompt Engineers to iterate quickly with different Prompt Templates and understand the impact on different contexts.<\/li>\n\n\n\n<li><strong class=\"fn be\">Prompt Usage Tracker: <\/strong>Working and iterating on Large Language models may require us to use paid APIs. Comet\u2019s LLMOps tool tracks usage based on a project and experiment level to help us understand our usage at a granular level.<\/li>\n<\/ul>\n\n\n\n<h1 class=\"wp-block-heading yk yl sy be ym yn yo yp lz yq yr ys me yt yu yv yw yx yy yz za zb zc zd ze zf bj\" id=\"1128\">Working with Comet LLM<\/h1>\n\n\n\n<p class=\"pw-post-body-paragraph xq xr sy be b xs zg xu xv xw zh xy xz mf zi yb yc mk zj ye yf mp zk yh yi yj em bj\" id=\"4b89\">To use this tool, we need to have an account with Comet \u2014 an MLOps platform designed to help data scientists and ML teams build better models faster! Comet provides tooling to track, explain, manage, and monitor our models in a single place.<\/p>\n\n\n\n<p class=\"pw-post-body-paragraph xq xr sy be b xs xt xu xv xw xx xy xz mf ya yb yc mk yd ye yf mp yg yh yi yj em bj\" id=\"0190\">After signing up, log in to your dashboard and create a new project.<\/p>\n\n\n\n<figure class=\"wp-block-image zx zy zz aba abb xf le lf paragraph-image\"><img decoding=\"async\" src=\"https:\/\/miro.medium.com\/v2\/resize:fit:700\/0*F-JHJmZsHiTe8hWh.png\" alt=\"\"\/><figcaption class=\"wp-element-caption\">Create a new project.<\/figcaption><\/figure>\n\n\n\n<p class=\"pw-post-body-paragraph xq xr sy be b xs xt xu xv xw xx xy xz mf ya yb yc mk yd ye yf mp yg yh yi yj em bj\" id=\"e42e\">We must fill in our project <strong class=\"be fn\">name <\/strong>and <strong class=\"be fn\">description<\/strong> and, most importantly, set the <strong class=\"be fn\">project type<\/strong> to <strong class=\"be fn\">large language models<\/strong>. Then, hit the create button.<\/p>\n\n\n\n<figure class=\"wp-block-image zx zy zz aba abb xf le lf paragraph-image\"><img decoding=\"async\" src=\"https:\/\/miro.medium.com\/v2\/resize:fit:700\/0*fHa0xUgj88nI2w6P.png\" alt=\"\"\/><figcaption class=\"wp-element-caption\">Create a new LLM project in Comet.<\/figcaption><\/figure>\n\n\n\n<p class=\"pw-post-body-paragraph xq xr sy be b xs xt xu xv xw xx xy xz mf ya yb yc mk yd ye yf mp yg yh yi yj em bj\" id=\"1e33\">We will use the LLM SDK, which is open-sourced and has really extensive LLMOps functionality. It can be installed using <code class=\"ec abc abd abe abf b\">pip<\/code> via terminal or Command line:<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\"><span id=\"dc96\" class=\"abj yl sy abf b bf abk abl l abm abn\" data-selectable-paragraph=\"\">pip install comet-llm<\/span><\/pre>\n\n\n\n<blockquote class=\"wp-block-quote abo abp abq is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"xq xr abr be b xs xt xu xv xw xx xy xz abs ya yb yc abt yd ye yf abu yg yh yi yj em bj\" id=\"1783\"><em class=\"sy\">Note: It is very important to note that the LLM SDK is under active development.<\/em><\/p>\n<\/blockquote>\n\n\n\n<h1 class=\"wp-block-heading yk yl sy be ym yn yo yp lz yq yr ys me yt yu yv yw yx yy yz za zb zc zd ze zf bj\" id=\"c086\">Using the LLM SDK to Log Prompts and Responses<\/h1>\n\n\n\n<p class=\"pw-post-body-paragraph xq xr sy be b xs zg xu xv xw zh xy xz mf zi yb yc mk zj ye yf mp zk yh yi yj em bj\" id=\"4791\">The LLM SDK supports logging prompts with its associated response and any associated metadata like token usage. This can be achieved through the function <code class=\"ec abc abd abe abf b\">log_prompt<\/code>:<\/p>\n\n\n\n<p class=\"pw-post-body-paragraph xq xr sy be b xs xt xu xv xw xx xy xz mf ya yb yc mk yd ye yf mp yg yh yi yj em bj\" id=\"e6fc\">Let\u2019s log our first and simple prompt and responses:<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">import comet_llm\n\ncomet_llm.log_prompt(\n    prompt=\"What is your name?\",\n    output=\" My name is Leo, and I your customer assistant!\",\n    api_key=\"&lt;API Key&gt;\",\n    project=\"mboxs\",\n    workspace=\"zenunicorn\",\n)<\/pre>\n\n\n\n<p class=\"pw-post-body-paragraph xq xr sy be b xs xt xu xv xw xx xy xz mf ya yb yc mk yd ye yf mp yg yh yi yj em bj\" id=\"d6c9\">The prompt and response get logged into our Comet dashboard:<\/p>\n\n\n\n<figure class=\"wp-block-image zx zy zz aba abb xf le lf paragraph-image\"><img decoding=\"async\" src=\"https:\/\/miro.medium.com\/v2\/resize:fit:700\/0*aHnE9NavQWDUTqms.png\" alt=\"\"\/><figcaption class=\"wp-element-caption\">Logged prompt and response in Comet Dashboard.<\/figcaption><\/figure>\n\n\n\n<p class=\"pw-post-body-paragraph xq xr sy be b xs xt xu xv xw xx xy xz mf ya yb yc mk yd ye yf mp yg yh yi yj em bj\" id=\"1825\"><strong class=\"be fn\">Args<\/strong><em class=\"abr\">:<\/em><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong class=\"fn be\">prompt<\/strong>: str (required) input prompt to LLM.<\/li>\n\n\n\n<li><strong class=\"fn be\">output<\/strong>: str (required), output from LLM.<\/li>\n\n\n\n<li><strong class=\"fn be\">api_key<\/strong>: str (optional) comet API key.<\/li>\n\n\n\n<li><strong class=\"fn be\">project<\/strong>: str (optional) project name to create in the Comet workspace.<\/li>\n\n\n\n<li><strong class=\"fn be\">workspace<\/strong>: str (optional) Comet workspace to use for logging.<\/li>\n<\/ul>\n\n\n\n<p class=\"pw-post-body-paragraph xq xr sy be b xs xt xu xv xw xx xy xz mf ya yb yc mk yd ye yf mp yg yh yi yj em bj\" id=\"93ba\">Other arguments that can be used include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong class=\"fn be\">tags<\/strong>: List[str] (optional), user-defined tags attached to a prompt call.<\/li>\n\n\n\n<li><strong class=\"fn be\">prompt_template<\/strong>: str (optional) user-defined template used for creating a prompt.<\/li>\n\n\n\n<li><strong class=\"fn be\">prompt_template_variables<\/strong>: Dict[str, str] (optional) dictionary with data used in prompt_template to build a prompt.<\/li>\n\n\n\n<li><strong class=\"fn be\">metadata<\/strong>: Dict[str, Union[str, bool, float, None]] (optional) user-defined dictionary with additional metadata to the call.<\/li>\n\n\n\n<li><strong class=\"fn be\">timestamp<\/strong>: float (optional) timestamp of prompt call in seconds.<\/li>\n\n\n\n<li><strong class=\"fn be\">duration<\/strong>: float (optional) duration of prompt call.<\/li>\n<\/ul>\n\n\n\n<p class=\"pw-post-body-paragraph xq xr sy be b xs xt xu xv xw xx xy xz mf ya yb yc mk yd ye yf mp yg yh yi yj em bj\" id=\"53e7\">Full details can be found <a class=\"af gt\" href=\"https:\/\/www.comet.com\/docs\/v2\/api-and-sdk\/llm-sdk\/reference\/comet_llm\/\" target=\"_blank\" rel=\"noopener ugc nofollow\">here<\/a>.<\/p>\n\n\n\n<p class=\"pw-post-body-paragraph xq xr sy be b xs xt xu xv xw xx xy xz mf ya yb yc mk yd ye yf mp yg yh yi yj em bj\" id=\"ff29\">Now, let\u2019s log a full prompt and response with most of the <em class=\"abr\">args<\/em> above.<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\"># Log a full prompt and response\n\ncomet_llm.log_prompt(\n    prompt=\"Answer the question and if the question can't be answered, say \\\"I don't know\\\"\\n\\n---\\n\\nQuestion: What is your name?\\nAnswer:\",\n    prompt_template=\"Answer the question and if the question can't be answered, say \\\"I don't know\\\"\\n\\n---\\n\\nQuestion: {{question}}?\\nAnswer:\",\n    prompt_template_variables={\"question\": \"What is your name?\"},\n    metadata= {\n        \"usage.prompt_tokens\": 7,\n        \"usage.completion_tokens\": 5,\n        \"usage.total_tokens\": 12,\n        \"output.index\": 0,\n        \"output.logprobs\": None,\n        \"output.finish_reason\": \"length\",\n        \"input.type\": \"completions\",\n        \"input.model\": \"text-davinci-003\",\n        \"input.provider\": \"openai\",\n    },\n    output=\"My name is Leo. How can I help you today?\",\n    duration=16.598,\n    api_key=\"&lt;API KEY&gt;\",\n    project=\"mboxs\",\n    workspace=\"zenunicorn\",\n)<\/pre>\n\n\n\n<p class=\"pw-post-body-paragraph xq xr sy be b xs xt xu xv xw xx xy xz mf ya yb yc mk yd ye yf mp yg yh yi yj em bj\" id=\"6d14\">All the information, such as the prompt, response, metadata, duration, etc., has been logged and can be viewed in a table sidebar by clicking on the specific row.<\/p>\n\n\n\n<figure class=\"wp-block-image zx zy zz aba abb xf le lf paragraph-image\"><img decoding=\"async\" src=\"https:\/\/miro.medium.com\/v2\/resize:fit:600\/0*XxvTBcWNPQQ_sSA1.gif\" alt=\"\"\/><figcaption class=\"wp-element-caption\">Logging full prompt and response.<\/figcaption><\/figure>\n\n\n\n<h1 class=\"wp-block-heading yk yl sy be ym yn yo yp lz yq yr ys me yt yu yv yw yx yy yz za zb zc zd ze zf bj\" id=\"f2fa\">Conclusion<\/h1>\n\n\n\n<p class=\"pw-post-body-paragraph xq xr sy be b xs zg xu xv xw zh xy xz mf zi yb yc mk zj ye yf mp zk yh yi yj em bj\" id=\"52c4\">In conclusion, LLMs (Language Model Models) significantly advance NLP (natural language processing). These models have demonstrated remarkable capabilities in understanding and generating human-like text, offering tremendous potential for various applications and industries.<\/p>\n\n\n\n<p class=\"pw-post-body-paragraph xq xr sy be b xs xt xu xv xw xx xy xz mf ya yb yc mk yd ye yf mp yg yh yi yj em bj\" id=\"e8f4\">The Comet LLM SDK is under active development, and the Comet team is currently planning on implementing support for logging LLM chains, viewing and diffing of chains, logging prompt and response embeddings, tracking user feedback, grouping of prompts, and so much more.<\/p>\n\n\n\n<p class=\"pw-post-body-paragraph xq xr sy be b xs xt xu xv xw xx xy xz mf ya yb yc mk yd ye yf mp yg yh yi yj em bj\" id=\"ee4e\">For more tutorials on how to integrate with Leading Large Language Models and Libraries, check out:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a class=\"af gt\" href=\"https:\/\/github.com\/comet-ml\/comet-examples\/blob\/master\/integrations\/llm\/langchain\/notebooks\/Comet_with_Langchain.ipynb\" target=\"_blank\" rel=\"noopener ugc nofollow\">Integrating with LangChain<\/a><\/li>\n\n\n\n<li><a class=\"af gt\" href=\"https:\/\/github.com\/comet-ml\/comet-examples\/blob\/master\/integrations\/llm\/openai\/notebooks\/Comet_and_OpenAI.ipynb\" target=\"_blank\" rel=\"noopener ugc nofollow\">Integrating with OpenAI\u2019s Python SDK<\/a><\/li>\n<\/ul>\n\n\n\n<p class=\"pw-post-body-paragraph xq xr sy be b xs xt xu xv xw xx xy xz mf ya yb yc mk yd ye yf mp yg yh yi yj em bj\" id=\"9e29\">As LLMs continue to evolve and improve, coupled with the innovative features provided by Comet LLMops, we can anticipate even more significant strides in NLP, opening up new possibilities for communication, creativity, and problem-solving.<\/p>\n\n\n\n<p class=\"pw-post-body-paragraph xq xr sy be b xs xt xu xv xw xx xy xz mf ya yb yc mk yd ye yf mp yg yh yi yj em bj\" id=\"caf3\">Feel free to reach out on <a class=\"af gt\" href=\"https:\/\/github.com\/comet-ml\/comet-llm\" target=\"_blank\" rel=\"noopener ugc nofollow\">GitHub<\/a> with any and all feature requests!<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Hey there! I\u2019m so excited to talk to you about Language Models! They\u2019re these incredible creations called Large Language Models (LLMs) that have the power to understand and generate human-like text. It\u2019s like having a conversation with a machine that can understand what you\u2019re saying and respond meaningfully. How cool is that? LLMs are part [&hellip;]<\/p>\n","protected":false},"author":8,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"customer_name":"","customer_description":"","customer_industry":"","customer_technologies":"","customer_logo":"","footnotes":""},"categories":[9,7],"tags":[],"coauthors":[143],"class_list":["post-7536","post","type-post","status-publish","format-standard","hentry","category-product","category-tutorials"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v25.9 (Yoast SEO v25.9) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Large Language Models: Navigating Comet LLMOps Tools - Comet<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.comet.com\/site\/blog\/large-language-models-navigating-comet-llmops-tools\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Large Language Models: Navigating Comet LLMOps Tools\" \/>\n<meta property=\"og:description\" content=\"Hey there! I\u2019m so excited to talk to you about Language Models! They\u2019re these incredible creations called Large Language Models (LLMs) that have the power to understand and generate human-like text. It\u2019s like having a conversation with a machine that can understand what you\u2019re saying and respond meaningfully. How cool is that? LLMs are part [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.comet.com\/site\/blog\/large-language-models-navigating-comet-llmops-tools\/\" \/>\n<meta property=\"og:site_name\" content=\"Comet\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/cometdotml\" \/>\n<meta property=\"article:published_time\" content=\"2023-09-19T16:00:01+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-04-24T17:14:01+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/miro.medium.com\/v2\/resize:fit:700\/1*FNpWXnT5pOwX0wXZj2WM4w.png\" \/>\n<meta name=\"author\" content=\"Shittu Olumide Ayodeji\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@Cometml\" \/>\n<meta name=\"twitter:site\" content=\"@Cometml\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Shittu Olumide Ayodeji\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"6 minutes\" \/>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"Large Language Models: Navigating Comet LLMOps Tools - Comet","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.comet.com\/site\/blog\/large-language-models-navigating-comet-llmops-tools\/","og_locale":"en_US","og_type":"article","og_title":"Large Language Models: Navigating Comet LLMOps Tools","og_description":"Hey there! I\u2019m so excited to talk to you about Language Models! They\u2019re these incredible creations called Large Language Models (LLMs) that have the power to understand and generate human-like text. It\u2019s like having a conversation with a machine that can understand what you\u2019re saying and respond meaningfully. How cool is that? 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