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Prompt Engineering for Developers | ChatGPT - Part2 | ft.Vinodkumar Bhovi
In this part-2 video, we will continue to dive into the exciting world of prompt engineering for natural language processing (NLP) models, with a specific focus on ChatGPT - a large language model developed by OpenAI. We will start by discussing the importance of prompts in NLP tasks and how they can be used to guide the model's behaviour towards specific goals. We will then explore different types of prompts and their strengths and weaknesses.
After that, we will introduce ChatGPT and explain its architecture and capabilities. We will also discuss some of the challenges that arise when using ChatGPT for various NLP tasks, such as text generation or conversational AI. This will set the stage for the main topic of the video, which is prompt engineering for ChatGPT.
We will demonstrate how to create effective prompts for ChatGPT by using a variety of techniques and tools, such as OpenAI's API. We will provide step-by-step instructions and real-life examples of prompt engineering for different NLP tasks. Additionally, we will discuss some best practices and common pitfalls to avoid when working with prompts and ChatGPT.
By the end of this video, you will have a solid understanding of prompt engineering for ChatGPT and how it can help you achieve better results in your NLP projects. So, join us on this exciting ride and let's learn together how to engineer better prompts for ChatGPT!
After that, we will introduce ChatGPT and explain its architecture and capabilities. We will also discuss some of the challenges that arise when using ChatGPT for various NLP tasks, such as text generation or conversational AI. This will set the stage for the main topic of the video, which is prompt engineering for ChatGPT.
We will demonstrate how to create effective prompts for ChatGPT by using a variety of techniques and tools, such as OpenAI's API. We will provide step-by-step instructions and real-life examples of prompt engineering for different NLP tasks. Additionally, we will discuss some best practices and common pitfalls to avoid when working with prompts and ChatGPT.
By the end of this video, you will have a solid understanding of prompt engineering for ChatGPT and how it can help you achieve better results in your NLP projects. So, join us on this exciting ride and let's learn together how to engineer better prompts for ChatGPT!
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Prompt Engineering for Developers | ChatGPT - Part1 | ft.Vinodkumar Bhovi
Переглядів 1,8 тис.Рік тому
In this video, we will dive into the exciting world of prompt engineering for natural language processing (NLP) models, with a specific focus on ChatGPT - a large language model developed by OpenAI. We will start by discussing the importance of prompts in NLP tasks and how they can be used to guide the model's behaviour towards specific goals. We will then explore different types of prompts and...
Ep1 - Navigate Data Engineering Career Path & Opportunities: Insights and Tips | ft Vinodkumar bhovi
Переглядів 910Рік тому
In this video, Our lead mentor Vinodkumar bhovi had an amazing call with Shankarling Shahapeti and offered him some guidance and insights on data engineering career path and opportunities. Shankarling is a talented professional who is passionate about data engineering, and we had a great conversation about how to grow his career in this field. During our call, we discussed a range of topics, in...
Azure Data Factory Part 10 - ADF Data Flow Selects
Переглядів 12 тис.Рік тому
In this video, we will discuss the about Select transformation in ADF Data flow and how to use it.
Azure Data Factory Part 9 - ADF Data Flow Filters
Переглядів 11 тис.Рік тому
In this video, we will discuss the about Filters in ADF Data flow and how to use them.
Azure Data Factory Part 8 - ADF Data Flow Joins
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In this video, we will discuss the about joins in ADF Data flow and how to use them.
Azure Data Factory Part 7 - Introduction to Data Flow
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In this video, we will discuss the introduction of Data Flow and how to use it.
Azure Data Factory Part 6 - Triggers and Types of Triggers
Переглядів 18 тис.2 роки тому
In this section, we will discuss triggers and different types of triggers in ADF
Azure Data Factory Part 5 - Types of Data Pipeline Activities
Переглядів 20 тис.2 роки тому
In this section, we will discuss different types of Azure Data Factory Activities
Azure Data Factory Part 4 - Integration Run Time and Different types of IR
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In this section, we will explore IR and different types of IR times
Azure Data Factory Part 3 - Creating first ADF Pipeline
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In this video, we will see how to create our first ADF pipeline - copy activity.
Azure Data Factory Part 2 - Top Level Concepts in ADF (Pipeline, Activities, Linked Service etc..)
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In this section, we will try to understand top-level concepts of ADF which are used to create data-driven workflows - Pipeline, Activity, Datasets, Linked Service, Integration Runtime, Triggers.
Azure Data Factory Part 1 - Introduction about Azure Data Factory
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In this section, we discuss the Introduction of Azure Data Factory and why it is important to master as a Data Engineer to work on real-time projects.
DP203 Microsoft Azure Data Engineer Associate|Day 12- Azure Synapse Analytics & Delta Lake (Contd..)
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DP203 Microsoft Azure Data Engineer Associate|Day 12- Azure Synapse Analytics & Delta Lake (Contd..)
DP203 Microsoft Azure Data Engineer Associate Certification Training|Day 11- Azure Synapse Analytics
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DP203 Microsoft Azure Data Engineer Associate Certification Training|Day 11- Azure Synapse Analytics
DP203 Microsoft Azure Data Engineer Associate Certification Training | Day 10 - Azure HDInsight
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DP203 Microsoft Azure Data Engineer Associate Certification Training | Day 10 - Azure HDInsight
DP203 Microsoft Azure Data Engineer Associate Certification Training| Day 9 - Azure Stream Analytics
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DP203 Microsoft Azure Data Engineer Associate Certification Training| Day 9 - Azure Stream Analytics
DP203 Microsoft Azure Data Engineer Associate Certification Training | Day 8 - Azure Databricks
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DP203 Microsoft Azure Data Engineer Associate Certification Training | Day 8 - Azure Databricks
DP203 Microsoft Azure Data Engineer Associate Certification | Day 7 - Azure Data Factory (Contd..)
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DP203 Microsoft Azure Data Engineer Associate Certification | Day 7 - Azure Data Factory (Contd..)
DP203 Microsoft Azure Data Engineer Associate Certification | Day 6 - CosmosDB(Contd..)|Data Factory
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DP203 Microsoft Azure Data Engineer Associate Certification | Day 6 - CosmosDB(Contd..)|Data Factory
DP203 Microsoft Azure Data Engineer Associate Certification Training |Day 5 -NoSQL-CosmosDB(Contd..)
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DP203 Microsoft Azure Data Engineer Associate Certification Training |Day 5 -NoSQL-CosmosDB(Contd..)
DP203 Microsoft Azure Data Engineer Associate Certification | Day 4 -Data Lake Quiz | NoSQL CosmosDB
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DP203 Microsoft Azure Data Engineer Associate Certification | Day 4 -Data Lake Quiz | NoSQL CosmosDB
DP203 Microsoft Azure Data Engineer Associate Certification Training | Day 3 -Azure SQL/MSSQL Server
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DP203 Microsoft Azure Data Engineer Associate Certification Training | Day 3 -Azure SQL/MSSQL Server
DP203 Microsoft Azure Data Engineer Associate Certification Training | Day 2 - Data Lake (Part 2)
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DP203 Microsoft Azure Data Engineer Associate Certification Training | Day 2 - Data Lake (Part 2)
DP203 Microsoft Azure Data Engineer Associate Certification Training | Day 1 - Data Lake (Part 1)
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DP203 Microsoft Azure Data Engineer Associate Certification Training | Day 1 - Data Lake (Part 1)
From where i can download these slides please reply 🙏
I feel like this teacher wants to finish early lol.
but I still very much appreciate you guys for creating this content
maybe a stupid question, but what if you now want to use your sink outputs as sources for future flows? Is that possible? is there any reason why you wouldn't do this? And can you have your outputs auto delete or written over each time so storage doesn't get unruly/confusing? Or, is there any reason why you wouldn't do this? These are great videos! I am so new to this and I have so many questions as an outcome!
Very Good Vinod.. keep uploading more content on Azure Cloud.. Thanks
Thank you, this is very useful for me
Can you please share those PPT.
There could be more focus on technical teaching and less on excessive talking.
i want full course ADF and also notes.........
Excellent course, mate! Thank you so much, better than the course that I did in Linkedin Learning.
great explanation,clear nd informative
Really it was a awesome sessions. Kindly give more videos on scenario based solutions. One question, Hw will you apply normalization in ADF?
Thanks!! Really good stuff!
Wow.Just wonderful.Your teaching skills are superb
Excellent explanation; please carry on with the series.
Great Explanation, please create more videos on Azure Data Factory.
Im going to call your bluff, I dont think you ever use databricks. As soon as I saw your import pandas I knew.
best series bro, thank you very much.. do guys still take classes? if yes please share the details.
excellent
when you did copy into, you didnt change trip to trip507 thats why data didnt show
I had issue with the regular storage account, couldn't create folder since it's only allowed in data lake. so i created data lake instead (just clicking the namespace hierarchy) and the issue was resolved, my pipeline ran successfully.
dada you are great you explain every small details I support you from my heart and make more videos
brother your videoes are great make acomplete playlist for AZ 104 (administrator) associate with best details, we will be very grateful if you make a playlist of that
Great video thanks
Great explanation!!
the iot outpuut temperature >27 issue, I think you didn't start the job thats why it was not coming to the iotoutput folder.
You are a good teacher. Keep up the good work!
Phenomenal job, have gone through many videos before but yours are different. Kudos to your efforts!!
Not to demotivate Vishwakarma, but I agree with others. I watched each video in this playlist until cosmos db and when ADF started I lost all the interest somehow. I had to search ADF tutorials separately and luckily found another databag playlist on ADF taken by Vinod. Much much better. The SQL one was also not up to the mark by the other guy. Sorry guys but this is the fact.
after video 6 the content quality got bit less informative as it was in previous videos
you said u will cover delta lake concept today?
you missed delta lake concept
Video is too good
Awful explanation. Just repeating himselg all the time without much content. Really shitty.
The way you explain each and every things is outstanding. I saw your first video on ADF and couldn't stop my self to subscribed your channel. Thank you for your effort.
Subscribed
great video sir Thank You
Glad your boss said Yes!, What if it was a No, what to do now?
Hey man love this playlistbut why have you stopped uploading 😮
I just found this channel. Keep it coming with ADF!
when did you upload txt ds file in the sink?
jst loved yor style of teaching mann....gd luck
Watched all the videos and very well put up. Waiting for more videos from you.
Thank you for your videos
please upload video on DP-600 Microsoft Fabric too. :) Thanks for creating the video. your teaching skills are mind blowing.
Awesome, these sesh feel like an interactive one to one session. Well explained. Thanks a Ton.
perfect explanation
great job!
Excellent introduction to ADF basics, making new concepts clear for me. Thanks for the clarity. Keep going!
Excellent explanation of Azure Data Factory! Clear, detailed, and perfect for beginners. Thanks for making it so accessible!