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Development of Generative AI Systems

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LLFarM

last updated:Mar 04, 2026

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We will create a system using generative AI in a short period!

Development of Generative AI Systems [LLFarM] - Development of systems using APIs of LLMs such as chat-GPT and Gemini - Preprocessing of documents to be passed to LLMs (such as image detection using Deep Learning) - Development of search systems using RAG - When handling sensitive customer information, use Local LLM and adapt it through retraining

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Development of Generative AI Systems

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【Specifications】 - Environment: Compatible with any cloud such as Azure, AWS, GCP, etc. - System elements: LLM, RAG, and their preprocessing and postprocessing - Unique feature: Retraining the LLM to adapt to specific domains 【Features】 - We quickly create and deliver based on past experiences when validating POCs and similar projects. - We can accommodate flexible specification changes even during development. - We can support validation at a low cost.

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【Past Achievements】 - Development of a system that reads specific documents using LLM and RAG - Development of a system that adapts to a specific domain by retraining a Local LLM - A system that processes multimodal inputs such as images and passes them to LLM after preprocessing

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LLFarM - LLM Solutions for Web Farmers -

LLFarM - LLM Solutions for Web Farmers -

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The 4th LLM Relearning Symposium was held.

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On February 16, 2026, we held the "4th LLM Relearning Forum" online. This time, Mr. Nakamura from JIN Corporation and Representative Yamaguchi from Bankom Corporation also presented, and we discussed topics such as OpenClaw and RLHF.

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The 3rd LLM Relearning Symposium was held.

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On December 11, 2025, we held the "3rd LLM Relearning Forum" online. The purpose of this study session is to deepen our understanding of LLM relearning. This time, we discussed the relearning methods of GPT OSS and other LLM-related topics. Once again, we had Mr. Yamaguchi from Bankom Co., Ltd. present, touching on LLM relearning and general topics related to LLMs.

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The 2nd LLM Relearning Symposium was held.

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The "2nd LLM Relearning Symposium" was held online on October 26, 2025, organized by WEBFARMER. The purpose of this study session is to deepen understanding of LLM relearning. This time, we will discuss the relearning methods of GPT OSS that were announced in August. We also had a presentation from Mr. Yamaguchi, the representative of Bankom Co., Ltd., who touched on topics related to LLM relearning and LLMs in general.

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The first session on the periphery of LLM retraining was held.

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On September 24, 2025, the first online seminar on the topic of LLM retraining was held. The purpose of this study session is to deepen understanding of LLM retraining. This time, we focused on chapters 6 and 7 of "Introduction to Creating LLMs" (by Mynavi) and discussed methods of retraining. As a Webfarmer who has been involved in computer vision studies for a long time, I shared insights on key points regarding LLM retraining from that perspective. In future sessions, we plan to widely invite participants and touch on various topics related to LLM retraining.

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Our company is engaged in various artificial intelligence development businesses, including artificial intelligence consulting, artificial intelligence seminars, and artificial intelligence application development. Since 2013, we have shifted to Deep Learning, working on improvements to CNNs and RNNs, and by 2015, we developed our own model using RNNs. Additionally, starting in 2016, we expanded our focus to deep reinforcement learning, developing numerous simulation models and robot models. Please feel free to contact us if you have any inquiries.

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