AI & Data Science Discussions: LLMs, Growth Mindset, and Advanced Tools 

AI & Data Science Discussions: LLMs, Growth Mindset, and Advanced Tools

Summary of chat 13/9 – 17/9

13/9

*AI Events, Apple Event, VPN Suggestions*

Members discussed various topics including AI events, the Apple event, and VPN suggestions.

*AI Events*
– Members discussed the need for a comprehensive calendar for AI events.
– Mention of new services for data science by AWS and Google.
– Member suggested summarizing the webinar and creating a mean calendar for future AI events.

*Apple Event*
– Members discussed expectations for the Apple event, including information about the M3 chip and the iPhone 15.
– No specific conclusions were reached about the event.

*VPN Suggestions*
– Members discussed the need for a VPN to access Discord voice in certain locations.
– Different VPN options were suggested, including Private Internet Access and Exit Lag.
– Mention of strict rules for VPNs in the UAE.

*Discussion on Study Materials and Agritech*

Members discussed the translation of study materials and their views on OpenAI’s use of training data. They also talked about their interest in Agritech and the challenges faced in vertical farming.

*Translation of Study Materials*
– Members discussed the need for translation of study materials.
– Some expressed their support for using copyrighted materials for innovation.
– One member criticized OpenAI for using proprietary data and betraying the OpenAI name.

*OpenAI’s Use of Training Data*
– Members discussed legal concerns regarding OpenAI’s use of illegally published books as training data.
– They talked about the challenges publishers may face in suing OpenAI.
– One member shared their perspective on privacy policies and data acquisition.

*Interest in Agritech*
– Members showed interest in Agritech and autonomous machinery.
– Some discussed their specific interests, such as data annotation related to agriculture.
– One member shared their experience with starting a vertical farm and the challenges faced in obtaining licenses.

 

14/9 AI LLMs Growth Mindset and Advanced Tools

*Introduction and Group Purpose*

The conversation started with the introduction of a new member, Ricardo, expressing gratitude for joining the AI community. Another member, Shrineel, requested to be added to the group, mentioning his MBA in Business Analytics. Some links were shared, including a LinkedIn profile and a UN website link. Lastly, a member invited others to join a session.

*Group Membership and Introductions*
– Ricardo introduced himself and expressed his excitement about joining the AI community.
– Shrineel requested to be added to the group and shared his background in Business Analytics.
– Pablo introduced himself and mentioned his involvement in organizing Safari and island trips, seeking alternative income.

*Timing for Community Sessions*
– Mohamed asked for the best timing for community sessions to attract more participants.
– In the call, 6.30 pm GST was agreed upon as a suitable timing for sessions.
– No further preferences or suggestions were shared by the members regarding the session timing.

*Discussion on Study Materials and Agritech*

Members discussed the need for translation of study materials and their views on OpenAI’s use of training data. They also talked about their interest in Agritech and the challenges faced in vertical farming.

*Translation of Study Materials*
– Members discussed the need for translation of study materials.
– Some expressed their support for using copyrighted materials for innovation.
– One member criticized OpenAI for using proprietary data and betraying the OpenAI name.

*OpenAI’s Use of Training Data*
– Members discussed legal concerns regarding OpenAI’s use of illegally published books as training data.
– They talked about the challenges publishers may face in suing OpenAI.
– One member shared their perspective on privacy policies and data acquisition.

*Interest in Agritech*
– Members showed interest in Agritech and autonomous machinery.
– Some discussed their specific interests, such as data annotation related to agriculture.
– One member shared their experience with starting a vertical farm and the challenges faced in obtaining licenses.

15/9 AI LLMs Growth Mindset and Advanced Tools

*Introduction, Membership, and Session Timing*

Members introduced themselves and discussed session timing.

*Introduction and Group Membership*
– Ricardo expressed excitement about joining the AI community.
– Shrineel requested to be added to the group and shared his background in Business Analytics.
– Pablo mentioned his involvement in organizing trips for alternative income.

*Timing for Community Sessions*
– Mohamed asked for the best timing for sessions to attract more participants.
– 6.30 pm GST was agreed upon as a suitable timing for sessions.
– No further preferences or suggestions were shared regarding session timing.

*Data Science Learning Recommendations and Language Processing*

Members discussed the difference between unstructured and structured data uploading. They mentioned that the unstructured uploader is mainly for PDF files, web scrapers, and text, while structured uploader is for already organized data with defined relationships. There was a mention of upcoming workshops covering document loaders.

*Recommendations for Learning Data Science*
– A member asked for recommendations to start learning Data Science as a beginner.
– No specific suggestions or conclusions were shared by the members.

*Language Processing in Langchain*
– A member inquired if it is possible to upload a file in one language and ask questions in a different language, and if the system can reply in the same language.
– Another member confirmed that it is possible to upload a document in any language and ask questions in English.
– A member offered to share the source code, mentioning that it is built on Langchain and Gradio.

*Sharing Video Link of Event*
– A member requested the link to a video of Mohammed Arshad’s event in Gen AI use case.
– Another member mentioned that all the videos are available.
– They asked for the recording to be shared.

 

 

17/9 AI LLMs Growth Mindset and Advanced Tools

*Data Science Learning and Language Processing*

Yesterday’s chat on the main group *Data Science Learning Recommendations and Language Processing* covered topics such as unstructured and structured data uploading, learning data science recommendations, language processing in Langchain, and sharing a video link of an event.

*Unstructured and Structured Data Uploading*
– Members discussed the difference between unstructured and structured data uploading. The unstructured uploader is mainly for PDF files, web scrapers, and text, while the structured uploader is for already organized data with defined relationships.
– There was a mention of upcoming workshops covering document loaders.

*Recommendations for Learning Data Science*
– A member asked for recommendations to start learning Data Science as a beginner.
– No specific suggestions or conclusions were shared by the members.

*Language Processing in Langchain*
– A member inquired if it is possible to upload a file in one language and ask questions in a different language, and if the system can reply in the same language.
– Another member confirmed that it is possible to upload a document in any language and ask questions in English.
– A member offered to share the source code, mentioning that it is built on Langchain and Gradio.

 

 

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LLMs Browsing, Unit Tests, Code Reviews

 

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About Community  Owner: Mohammad Arshad, A Globally recognized expert in AI

With 18+ years of experience, Mohammad Arshad has successfully enabled businesses to monetize their data and AI products. His technical and strategic expertise has helped 5 of the largest companies in the world, 10 SMEs, and 3 startups build effective Data and AI Strategies.

He founded Decoding Data Science in 2020, a successful AI Strategy consulting practice, and expanded into education in 2022 with the launch of DDS Academy.

Accenture, HP, Dell, LinkedIn, MAF, and other leading companies have recognized Mohammad as a Data Science and Strategy expert since 2005.

Mohammad Arshad has been teaching technical and non-technical audiences since 2008, making him a seasoned mentor and coach in the industry. He has helped 600+ individuals get their Dream jobs.

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