LLMWare.ai
工具信息
评价
分析
嵌入
替代品
Soul Machines是一家在人性化AI体验方面的全球领先创新者。我们利用尖端的专利生物AI技术，转变高度个性化的数字连接，致力于让AI对所有人都变得可及和伦理。
AD
SalesAPE 是您的 AI 入站销售代表 - 资格审核潜在客户、预约会议并 24/7 陆续增长您的收入。为小企业而建。无代码，无软件设置，无烦恼。
AD
LLMWare.ai 工具信息
什么是LLMWare.ai？
LLMWare.ai提供针对金融、法律和监管行业的专业语言模型和AI框架，重点提供私有云解决方案。它提供全面的工具，以满足数据敏感型企业的复杂需求，便于通过先进的框架和定制模型开发AI应用。
如何使用 LLMWare.ai？
访问者可以探索集成的AI解决方案，利用为其行业需求定制的专业LLM，或根据需要进行自定义。
LLMWare.ai 的核心功能
各行业专业化LLM
端到端AI框架集成
支持多种向量数据库
LLMWare.ai 的使用案例
#1
开发适用于金融和法律的监管合规定制AI应用。
来自 LLMWare.ai 的常见问题
哪些行业可以受益于LLMWare.ai？
LLMWare.ai可以与现有数据库集成吗？
LLMWare.ai Discord
这个是 LLMWare.ai Discord的链接: https://discord.gg/fCztJQeV7J. 更多 Discord 信息, 请点击 discord链接(/zh/discord/fcztjqev7j).
LLMWare.ai 支持邮箱 & 客户服务联系 & 退款联系等
更多联系, 访问 the contact us page(https://calendly.com/noberst/discovery-call)
LLMWare.ai 公司信息
LLMWare.ai 公司名字: AI Bloks, LLC .
更多关于LLMWare.ai, 请访问 the about us page(https://llmware.ai/about).
LLMWare.ai 价格
LLMWare.ai 价格链接: https://llmware.ai/pricing
LLMWare.ai Youtube
LLMWare.ai Youtube链接: https://www.youtube.com/channel/UC1u9RDLlNJ28ZM76ZRqQqOA
LLMWare.ai Github
LLMWare.ai Github链接: https://github.com/llmware-ai/llmware
LLMWare.ai 评价 (0)
5 满分 5 分
LLMWare.ai数据分析
LLMWare.ai 网站流量分析
地理位置
Top 1 国家/地区
100.00%
Jul 2024 - Feb 2025 仅桌面设备
LLMWare.ai Discord 用户数分析
最新用户数
1.8K (578)
LLMWare.ai 启动嵌入功能
使用网站徽章推动社区对 Toolify 启动的支持。它们很容易嵌入到您的主页或页脚。
Light
Neutral
Dark
复制嵌入代码
如何安装？
社交媒体聆听
Unlocking RAG Potential with LLMWare's CPU-Friendly Smaller Models
Join me in this comprehensive tutorial where I delve into the fascinating world of Retrieval Augmented Generation (RAG) using the innovative 'bling-sheared-llama-1.3b-0.1' and 'industry-bert-insurance-v0.1' models from LLMWare AI. These open-source models, licensed under Apache 2.0, are specifically tailored for industry applications and are incredibly efficient for CPU-based computations. In this video, I explore the BLING model series, which is fine-tuned with high-quality custom datasets for specific instruct tasks. These models are designed to be 'inference-ready' on standard CPU laptops, making them ideal for a wide range of users. I also discuss the 'industry-bert-insurance-v0.1' model, a BERT-based Sentence Transformer specifically fine-tuned for the insurance industry. This model excels in understanding and processing insurance-related data, providing more accurate and relevant results. Throughout this tutorial, I demonstrate how to implement these models in a Streamlit app to generate insightful responses from insurance documents. This tutorial is especially beneficial for professionals and enthusiasts in the insurance sector looking to leverage AI for data analysis and customer interaction. A special thanks to LLMWare AI for developing these advanced, yet accessible models. Their contribution to the AI community is invaluable. If you find this tutorial helpful, please don't forget to LIKE, COMMENT, and SUBSCRIBE to my channel for more content on Generative AI and machine learning applications. Your support encourages me to create more content like this! LLMWare HF: https://huggingface.co/llmware LLMWare Website: https://www.llmware.ai/ LLMWare GitHub: https://github.com/llmware-ai/llmware AI Anytime GitHub: https://github.com/AIAnytime/llmware-RAG-Demo-App @llmware Join this channel to get access to perks: https://www.youtube.com/channel/UC-zVytOQB62OwMhKRi0TDvg/join #generativeai #ai #llm
RAG using CPU-based (No-GPU required) Hugging Face Models with LLMWare on your laptop
Deploying RAG using CPU-based (No GPU required) Hugging Face Models with LLMWare by Darren Oberst, Chief Executive Officer. *UPDATE* You can now run many 7B models on your laptop. Please watch this video for the latest in how to run 7B DRAGON models with no GPU: https://www.youtube.com/watch?v=ZJyQIZNJ45E&t=337s LLMWare Hugging Face repo: https://huggingface.co/llmware. PLEASE SUBSCRIBE for more upcoming content! Check out our open-source Github library and give us a star! https://github.com/llmware-ai/llmware Also check out our website for more info: https://llmware.ai/
Fast Start to RAG with LLMWare Open Source Library (2023)
Please watch our FAST START TO RAG videos (2024) for refreshed content for our Github library. UPDATE: We have made some changes to our Github library since filming this video. Although the video is still largely accurate, there are some differences in the project from this video. Thank you! PLEASE SUBSCRIBE for more upcoming content! Check out our open-source Github library and give us a star! https://github.com/llmware-ai/llmware (Questions about the video or any other LLMWare related issues can also be addressed in the Issues or Community tab in Github). We are also in discord: https://discord.gg/SpJaa3Kde5 Also check out our website for more info: https://llmware.ai/
总共有 12 条社交媒体数据需要解锁才能查看