Currently, all popular LLM service providers use Fine-Tune using JSONL files, which describe the inputs and outputs of the model, with small variations, for example for Gemini, Openai, the format is slightly different.<\/p>\n
After downloading a specially formed JSONL file, the process of specialization of the LLM model on the specified dataset begins, for all current well -known LLM providers this service is paid.<\/p>\n
For Fine-Tune on a local machine using Ollama, I recommend relying on a detailed video from the YouTube channel Tech with TIM-Easiest Way to fine-tune a llm and us it with alloma: An example of a JUPYTER laptop with the preparation of JSONL Dataset from exports of all Telegram messages and launching the local Fine-Tune process is available here: Currently, all popular LLM service providers use Fine-Tune using JSONL files, which describe the inputs and outputs of the model, with small variations, for example for Gemini, Openai, the format is slightly different. After downloading a specially formed JSONL file, the process of specialization of the LLM model on the specified dataset begins, for allContinue reading “LLM Fine-Tune”<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[49],"tags":[],"class_list":["post-4213","post","type-post","status-publish","format-standard","hentry","category-blog","entry"],"translation":{"provider":"WPGlobus","version":"3.0.2","language":"en","enabled_languages":["en","ru","zh","de","fr","ja","pt","hi"],"languages":{"en":{"title":true,"content":true,"excerpt":false},"ru":{"title":false,"content":true,"excerpt":false},"zh":{"title":false,"content":true,"excerpt":false},"de":{"title":false,"content":true,"excerpt":false},"fr":{"title":false,"content":true,"excerpt":false},"ja":{"title":false,"content":true,"excerpt":false},"pt":{"title":false,"content":true,"excerpt":false},"hi":{"title":false,"content":false,"excerpt":false}}},"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/demensdeum.com\/blog\/wp-json\/wp\/v2\/posts\/4213","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/demensdeum.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/demensdeum.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/demensdeum.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/demensdeum.com\/blog\/wp-json\/wp\/v2\/comments?post=4213"}],"version-history":[{"count":2,"href":"https:\/\/demensdeum.com\/blog\/wp-json\/wp\/v2\/posts\/4213\/revisions"}],"predecessor-version":[{"id":4215,"href":"https:\/\/demensdeum.com\/blog\/wp-json\/wp\/v2\/posts\/4213\/revisions\/4215"}],"wp:attachment":[{"href":"https:\/\/demensdeum.com\/blog\/wp-json\/wp\/v2\/media?parent=4213"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/demensdeum.com\/blog\/wp-json\/wp\/v2\/categories?post=4213"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/demensdeum.com\/blog\/wp-json\/wp\/v2\/tags?post=4213"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\nhttps:\/\/www.youtube.com\/watch?v=pTaSDVz0gok<\/a><\/p>\n
\nhttps:\/\/github.com\/demensdeum\/llm-train-example<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"