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Einführung:
Babs.ai bietet innovative AI-Chatbot-Lösungen für Unternehmen.
Hinzugefügt am:
May 27 2023
Monatliche Besucher:
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babs.ai Produktinformationen

Was ist babs.ai?

Babs.ai ist eine fortschrittliche AI-Chatbot-Plattform, die modernste konversationelle Lösungen für Unternehmen bietet.

Wie benutzt man babs.ai?

Um Babs.ai zu verwenden, melden Sie sich einfach auf der Website an und folgen Sie den angegebenen Anweisungen, um Ihren Chatbot einzurichten. Sie können das Erscheinungsbild, Verhalten und die Integration des Chatbots mit Ihrer Website oder Messaging-Plattformen anpassen.

babs.ai's Hauptmerkmale

Natural Language Processing (NLP)

Conversation Flow Builder

Multi-Channel Support

Data Analytics und Insights

Integrations mit CRMs und APIs

babs.ai's Anwendungsfälle

#1

Kundensupport

#2

Lead-Generierung

#3

Bestellunterstützung

#4

FAQ und Wissensbasis

FAQ von babs.ai

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Aktueller Website-Verkehr

Monatliche Besuche
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Durchschnittliche Dauer des Besuchs
00:00:00
Seiten pro Besuch
1.03
Absprungrate
40.16%
Feb 2023 - Feb 2025 Gesamter Website-Verkehr

Geografischer Verkehr

Top 1 Regionen

Nigeria
100.00%
Feb 2023 - Feb 2025 Nur Desktop-Geräte

Quellen des Website-Verkehrs

Organische Suche
43.43%
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35.07%
Referral
15.06%
Social
4.63%
Anzeigen
1.21%
Mail
0.61%
Feb 2023 - Feb 2025 Weltweit nur Desktop-Geräte

Social Media Listening

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Suchverlauf
28:09

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

Data Community Africa
Jan 01 2024
158
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12:12

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

MLOps IRL
Feb 05 2024
48
0

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