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- Видео 217
- Просмотров 571 776
AI Planet
Бельгия
Добавлен 2 май 2020
AI Planet is a global community with a vision to educate and build AI for all to solve meaningful problems. To get started with your Data Science journey for free, visit aiplanet.com.
Human Intervention for Agentic Workflow | OpenAGI
Welcome to this tutorial on using OpenAGI to create a customer feedback analysis report for a product. At AI Planet, we launched OpenAGI to make human-like agents accessible to everyone. In this video, we demonstrate how to use the human intervention feature (human_intervene=True) to enhance the accuracy and relevance of your results.
Useful Links:
-Blog Post: medium.com/dphi-tech/openagi-0-2-7-release-improved-human-intervention-new-actions-and-claude-llm-integrations-f04aa729a92a
-GitHub Repository: github.com/aiplanethub/openagi
-Documentation: openagi.aiplanet.com/
-Discord Community: bit.ly/aiplanet-discord
-Colab Notebook: colab.research.google.com/drive/1SDOq4dUcRg7Syx60sb4wG_3jkeaub0ct?...
Useful Links:
-Blog Post: medium.com/dphi-tech/openagi-0-2-7-release-improved-human-intervention-new-actions-and-claude-llm-integrations-f04aa729a92a
-GitHub Repository: github.com/aiplanethub/openagi
-Documentation: openagi.aiplanet.com/
-Discord Community: bit.ly/aiplanet-discord
-Colab Notebook: colab.research.google.com/drive/1SDOq4dUcRg7Syx60sb4wG_3jkeaub0ct?...
Просмотров: 185
Видео
Advanced Retrievers and Evaluations with BeyondLLM | BeyondLLM
Просмотров 1452 месяца назад
In this video, we explore and build a Retrieve-Augment-Generate pipeline using BeyondLLM. This pipeline features a sophisticated document retriever that not only retrieves but also re-ranks the most relevant documents. To conclude, we evaluate the pipeline's performance by examining how well the context of the generated answer aligns with the original answer. Github - github.com/aiplanethub/bey...
Chat with Multiple Data Sources | GenAI Stack
Просмотров 1443 месяца назад
Chat with Multiple Data Sources | GenAI Stack
Using Conversational Memory | GenAI Stack
Просмотров 1093 месяца назад
Using Conversational Memory | GenAI Stack
Building a Github Agent using OpenAGI || Open Source Autonomous Agents framework
Просмотров 2023 месяца назад
Building a Github Agent using OpenAGI || Open Source Autonomous Agents framework
Speech to Text Conversion | GenAI Stack
Просмотров 993 месяца назад
Speech to Text Conversion | GenAI Stack
News Comparison Bot using URLs | GenAI Stack
Просмотров 714 месяца назад
News Comparison Bot using URLs | GenAI Stack
OpenAGI 101 || Open Source Autonomous Agents framework
Просмотров 6084 месяца назад
OpenAGI 101 || Open Source Autonomous Agents framework
RAG Chat with your PDF || GenAI Stack
Просмотров 3605 месяцев назад
RAG Chat with your PDF || GenAI Stack
Indic Language Translation Bot | GenAI Stack
Просмотров 1665 месяцев назад
Indic Language Translation Bot | GenAI Stack
Build Q&A ChatBot using GenAI Stack || No Code AI
Просмотров 5245 месяцев назад
Build Q&A ChatBot using GenAI Stack || No Code AI
Meet AI Planet's Jupiter - The AI Guru for personalized and simplified Data Science education
Просмотров 717Год назад
Meet AI Planet's Jupiter - The AI Guru for personalized and simplified Data Science education
Forecasting Earthquakes with AI | Interview with Niels Heffinck from AETA
Просмотров 2152 года назад
Forecasting Earthquakes with AI | Interview with Niels Heffinck from AETA
AI that predicts an Earthquake | Full interview with Dr. Trista Yong from AETA, Peking University
Просмотров 1212 года назад
AI that predicts an Earthquake | Full interview with Dr. Trista Yong from AETA, Peking University
Building an AI that predicts an Earthquake | Brief overview by Dr. Trista Yong from AETA
Просмотров 1042 года назад
Building an AI that predicts an Earthquake | Brief overview by Dr. Trista Yong from AETA
DPhi requests for donation to make data science education accessible to all
Просмотров 6642 года назад
DPhi requests for donation to make data science education accessible to all
Deep Learning Bootcamp KICK-Off - July 2021
Просмотров 1,3 тыс.3 года назад
Deep Learning Bootcamp KICK-Off - July 2021
Unleashing DPhi Version 2.0 | Democratizing Data Science
Просмотров 7443 года назад
Unleashing DPhi Version 2.0 | Democratizing Data Science
Dipanjan Sarkar's Message to Graduates of DPhi Deep Learning Bootcamp
Просмотров 2083 года назад
Dipanjan Sarkar's Message to Graduates of DPhi Deep Learning Bootcamp
Walkthrough on how to fetch, load, and pre-process image dataset for Deep Learning by Raviraj Dasari
Просмотров 22 тыс.3 года назад
Walkthrough on how to fetch, load, and pre-process image dataset for Deep Learning by Raviraj Dasari
Essentials before Getting Started with the DPhi Deep Learning Bootcamp
Просмотров 3 тыс.3 года назад
Essentials before Getting Started with the DPhi Deep Learning Bootcamp
Getting-started with DPhi Discuss Platform & Its Importance
Просмотров 2494 года назад
Getting-started with DPhi Discuss Platform & Its Importance
How to solve a problem on DPhi Practice Platform
Просмотров 8834 года назад
How to solve a problem on DPhi Practice Platform
Thanks buddy, that worked
Is AI made content is not eligible for monetization on RUclips?
can we please get a link to these slides?
Slides: docs.google.com/presentation/d/1rDLh-vYHP7eef_ZGTvR0Ym8rjujL1BceOX_bnHXNtvk/edit?usp=sharing
@@aiplanet Thx a bunch, this is really helpful!! Would appreciate it if we can add slides to the other sessions in this RAG & Agents bootcamp, if possible 🙌🥹
Great session, will notebook be added to bootcamp's resoruces?
Yes you can access the notebook in the module !
Best session in the bootcamp so far - well organized and structured. It takes a lot of effort to get the presentation to this level.
Quite Informative !
Link for colab notebook = colab.research.google.com/drive/10CiLLz8A-RpuHygh_E4TNNSR2KST1o5q?usp=sharing
Where can I look for the previous LLM bootcamp material?
The LLM bootcamp is closed. But the materials can be found here: aiplanet.com/courses/llm-bootcamp
Super Informative session, Thank you Tarun and Team AIplanet !!
I couldn't make it on time, but I am now catching up. I like what I've seen so far.
I’m so excited about this.
This is top tier. Good job
Thank you, AI Planet for this opportunity.
thank you for this opportunity
Amazing session. Thank you Tarun
Thanks for this ashmi
great initiative
thanks alottt
Grt session, good insights
Highly insightful, thanks Anubhav
Great work!
Hello I am trying to build a multi model RAG using Gemini API with unstructured library I am getting error.
What is the error message you are getting?
tq it is very useful
This is a magnificent 👏 @Genai Stack team. ❤
Looks promising. I'm currently trying to access your app but it's returning "no healthy upstream".
Thank you!
you didn't predict anything by using this data set?
Nice explanation! Done Good work.
simple & straightforward thank you sm
hey, video is helpful. but i need to train the model for zero shot learning with custom dataset. kindly help me in it
kindly share datatset
is it open source tool? or pricing?
thanks for your question, currently, it is offered as a SaaS platform. Soon, we will be open-sourcing a more stable version.
how to combine more than one feature selection method using pycaret
Thank you for the amazing explanation. Could you provide the dataset please
Thanks Man!
আমার হাঁটতে হাঁটু তে খুব pai হয়
Why is it that so many people from India are always such absolutely brilliant AI developers? 🖖 Seriously, is there something in your water? And where can I buy that? 🤣
Very well explain ed
Can I have ur linked in
I want to be AI/ Ds pm. Need ur guidance I have done DS course.
👍
Can the code be shared please
input_shape was never defined. This tutorial cannot be completed.
thx
How to download the csv sir?
good introduction until 10th minute of the video 🙂
The build-up to transformer architecture was good
can we get this notebook file as well which discussed in the video. We could not find this in boot camp
thank you for reaching us out, just wanted to let you know our team has reached out to the speaker for this. We shall share it as soon as possible.
Thank you, Chanukya & Tarun, for taking the time to train us on LLM. In fact, I might not be an expert yet but zero knowledge about LLM has been replaced with full awareness of the core of LLM. I'm going through this again to understand the techniques. How can we make Generative AI fully adopted in some institutions or organizations that manage sensitive personal data such as bank or hospital that treats the data of their customer or patient strictly? I suppose ERT (Entity Recognition Techniques) should play out well in mitigating exposure of those sensitive data for the full adoption of the LLMs in all of these institutes. I would love to be part of those who will bring up the solutions.
I couldn't pass the stage: ValidationError: 1 validation error for HuggingFaceEmbeddings encode extra fields not permitted (type=value_error.extra) Please, how could I resolve this error?
Cool! Thank you, Abhishek!