babs.ai
babs.ai là gì?
Babs.ai là một nền tảng chatbot AI tiên tiến cung cấp các giải pháp trò chuyện hiện đại cho doanh nghiệp.
Làm cách nào để sử dụng babs.ai?
Để sử dụng Babs.ai, chỉ cần đăng ký tài khoản trên trang web và làm theo hướng dẫn để thiết lập chatbot của bạn. Bạn có thể tùy chỉnh hình dạng, hành vi của chatbot và tích hợp nó với trang web hoặc các nền tảng nhắn tin của bạn.
Các tính năng cốt lõi của babs.ai
Xử lý Ngôn ngữ Tự nhiên (NLP)
Công cụ Xây dựng Luồng Trò chuyện
Hỗ trợ Đa Kênh
Phân tích Dữ liệu và Hiểu biết
Tích hợp với CRM và API
Trường hợp sử dụng của babs.ai
Hỗ trợ Khách hàng
Tạo Tiềm năng
Hỗ trợ Đặt hàng
FAQ và Cơ sở kiến thức
Câu hỏi thường gặp từ babs.ai
Babs.ai là gì?
Làm thế nào để sử dụng Babs.ai?
Các tính năng chính của Babs.ai là gì?
Các trường hợp sử dụng của Babs.ai là gì?
Giá cả của Babs.ai là bao nhiêu?
babs.ai Hỗ trợ Email & Liên hệ dịch vụ khách hàng & Liên hệ hoàn tiền, v.v.
Đây là email hỗ trợ babs.ai dành cho dịch vụ khách hàng: support@babs.ai .
Giá của babs.ai
Liên kết giá của babs.ai: https://babs.ai/?tab=pricing
Linkedin babs.ai
Liên kết Linkedin babs.ai: https://www.linkedin.com/company/babs-technologies
Twitter babs.ai
Liên kết Twitter babs.ai: https://twitter.com/babs_ai
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Just how much math do I need in Data science, Machine learning or LLM? - Temi Babs
#datascience #machinelearning #artficialintelligence #llm About the Speaker Temi is a co-founder of Babs.ai. babs' mission is to bridge the gap between people and the information they need to be productive. As an engineer with a specialization in Deep Learning, Temi has experience building solutions in Computer Vision and Natural Language Understanding. He takes a mathematical approach to problem-solving and encourages everyone to do so. Join the community LinkedIn: https://www.linkedin.com/in/temi-babs/ ABOUT THE SESSION Data is central to many areas of business and value creation. For example, to unlock real business value, business stakeholders need to be able to interpret customer, financial, and product-related data. There are tools to help us with data presentation and understanding, and it is even more important for data scientists, and engineers, to learn both techniques and a few tools. But just how much do they have to know? How deep do they have to go? Do they need to have an understanding of the underlying formulas, and algorithms that power the tools they use? In this session, we will break this down into a hierarchy of abstraction layers, and describe how far down the stack each stakeholder needs to go. Discord: https://discord.gg/G2596F8WwT Linkedln: https://www.linkedin.com/company/datafestafrica/ Twitter: https://twitter.com/datafestafrica Instagram: https://www.instagram.com/datafestafrica_ng/ Newsletter: https://datafestafrica.substack.com/ Support us: https://opencollective.com/datafestafrica
Lanfrica Talks #18 | Meet Babs, your AI personal assistant
If you liked this talk, check out more talks at Lanfrica Talks: https://lanfrica.com/blog/lanfrica-talks Listen to this episode in our podcast https://podcasters.spotify.com/pod/show/lanfrica-talks-podcast/episodes/Lanfrica-Talks-18--Meet-Babs--your-AI-personal-assistant-e22iui5 Learn more about Babs - https://babs.ai/ Abstract babs.ai is a personalized assistant service that is focused on productivity, powered by AI. Their virtual assistants integrate with everyday tools that users use. In this presentation, founder, Temi introduces the platform, the technologies, and the latest developments in virtual assistants and chatbots. They also seek to bring their assistants to African users who speak low-resource languages.
Babs' Demo // Temi Babs // IRL Meetup #63 Lagos
Large Language Models have taken the world by storm. But what are the real use cases? What are the challenges in productionizing them? In this event, you will hear from practitioners about how they are dealing with things such as cost optimization, latency requirements, trust of output, and debugging. You will also get the opportunity to join workshops that will teach you how to set up your use cases and skip over all the headaches. Join the AI in Production Conference on February 15 and 22 here: https://home.mlops.community/home/events/ai-in-production-2024-02-15 _________________________________________________________________________________________ MLOps Community IRL Meetup #63! The Lagos MLOps Community talked to Temi Babs, CEO/CTO of Babs Technologies. //Abstract Temi Babs shares an insightful demonstration of using LangChain for leveraging OpenAI's LLM model. Temi delves into the technical intricacies of the message placeholder, streaming optimization, and the utilization of Pydantic in structuring data. He also discusses the power of obtaining JSON responses from LLM and highlights the potential for real-world applications, such as providing project updates to stakeholders. Furthermore, Temi addresses the nuances of fine-tuning the GPT models to enhance accuracy and shares valuable insights on the latest developments in this area. // Bio Temi is a co-founder of babs.ai. Babs' mission is to bridge the gap between people and the information they need to be productive. As an engineer with a specialization in Deep Learning, Temi has experience building solutions in Computer Vision and Natural Language Understanding. He takes a mathematical approach to problem-solving and encourages everyone to do so. // Jobs board https://mlops.pallet.xyz/jobs // Related links https://medium.com/coinmonks/on-layers-of-abstraction-bed08336a309 https://medium.com/coinmonks/the-mathematics-of-neural-network-60a112dd3e05 ----------- ✌️Connect With Us ✌️------------- Join our Slack community: https://go.mlops.community/slack Follow us on Twitter: @mlopscommunity Sign up for the next meetup: https://go.mlops.community/register Catch all episodes, Feature Store, Machine Learning Monitoring, and Blogs: https://mlops.community/ Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/ Connect with Temi on LinkedIn: https://www.linkedin.com/in/temi-babs/ Timestamps [00:00] David automates data analysis by ETL process [01:05] Stream optimization [02:39] Pidentic [04:20] LLM LangChain Framework [05:22] Vector database [08:39] Handling JSON Output Issues [11:50] Wrap up