Using Asynchronous Python With Celery Karachi Wala Developer podcast

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Using Asynchronous Python with Celery

for 5 år siden 8:59

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Indhold leveret af Mashhood Rastgar. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Mashhood Rastgar eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

Writing async code is important when building any application. You dont want your threads to be blocked on http calls and db look ups - esp if the language you are using is single threaded! I was surprised to find that most code written in Python is synchronous though that is now rapidly changing. Writing asynchronous code right now means using libraries like Celery which do all the work in a separate process. What is it, how do we use it and how does it work - this and more in this episode.

… continue reading

56 episoder

#Tech #Mashhood Rastgar

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Using Asynchronous Python with Celery

Karachi Wala Developer

published for 5 år siden

Del

M4A•Episode hjem

Indhold leveret af Mashhood Rastgar. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Mashhood Rastgar eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

Writing async code is important when building any application. You dont want your threads to be blocked on http calls and db look ups - esp if the language you are using is single threaded! I was surprised to find that most code written in Python is synchronous though that is now rapidly changing. Writing asynchronous code right now means using libraries like Celery which do all the work in a separate process. What is it, how do we use it and how does it work - this and more in this episode.

… continue reading

56 episoder

#Tech #Mashhood Rastgar

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1
Does OpenAI O1 change everything? 10:28

for 31 weeks siden10:28

10:28

Last week OpenAI released a new model called O1 - which has advanced capabilities to reason and does a lot better in maths and coding. How does it do this and what does this change? This and more in this episode.

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LLMs: Understanding Google Gemma 10:00

for 42 weeks siden10:00

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In the world of many open source LLM models, Google Gemma stands out with some unique capabilities. Firstly its made by Google after all - so its implementation is fully optimized and memory efficient. This and more on what is Gemma about and how its better.

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AI in Your Pocket - LLMs on Smartphones 7:39

for 45 weeks siden7:39

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This episode dives into the exciting world of on-device AI, specifically Large Language Models (LLMs) running directly on your smartphone! We'll explore why cramming this powerful tech into your pocket is a game changer, and discuss how LLMs can transform your daily interactions with your phone.

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Whats next for LLMs? Reviewing updates from Google and OpenAI 8:19

for 48 weeks siden8:19

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In this episode we cover the latest updates from Google IO and OpenAI Spring update. The all new ChatGPT-o and Gemini 1.5 Flash. We talk about where are LLMs headed next.

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LLMs: Will Lama3 destroy the competition? 7:39

for 51 weeks siden7:39

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Lama3 is a popular open source model by Meta, the company behind Facebook, Instagram and Whatsapp. They have release the next iteration of the famous Lama2 model, this is a popular open source LLM which is heavily used by developers world wide. Is the new iteration strong enough to take on the best closed source models? We explore in this episode.…

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LLMs: Finetuning - do you need it? 8:45

for 52 weeks siden8:45

8:45

As we move to use LLMs more and more for different use cases, we will run into at times issues or limitations with the model. There are many different ways to train the model to do a specific task better, and fine tuning is one of them. What is about, when do we need to use it and how do we do it - all in this episode.…

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I am now a Google Developer Expert in Machine Learn (GDE ML) for GenAI 6:25

for 1 year siden6:25

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This episode covers my journey as a GDE over the last few years, what got me into it, and what is the big outcome. Also joined another category for GDE in Machine Learning.

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LLMs: Are AI Software Engineers ready to take over? 8:09

for 1 year siden8:09

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In this episode I share my thoughts on the latest additional to AI development called Deven, and where the industry is moving towards. Will software engineering be taken over by AI in the next few years?

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LLMs: My thoughts on Gemini Pro 1.5 and OpenAI Sora. 5:21

for 1 year siden5:21

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So this week we had 2 back to back announcements which completely shook up the LLM worlds. Gemini Pro 1.5 with its 10 million token context length makes it super powerful to run on large codebases and a lots of documents. The other big news was the launch of OpenAI Sora - their new text to video generation which can now generate super realistic videos for up to a minute. How will these impact our tool, I share some thoughts here.…

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LLMs: Welcome Google's Gemini Ultra! 5:01

for 1 year siden5:01

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The all new heavy weight model has just dropped this week. Should you be rushing to try it out? Why is the ultra model better? This and more in his quick episode talking about Gemini Ultra.

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LLMs: How to train LLMs on your data using RAG. 6:10

for 1 year siden6:10

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In this episode - we discover the Retrieval Augmented Generation (RAG) process which allows us to train our LLMs using our data. In this short episode we cover what is this about and how can we use it.

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LLMs: An Introduction to Prompt Engineering 9:49

for 1 year siden9:49

9:49

If you are using ChatGPT or Bard - you are "prompting" the AI to get some answers. Not all prompts are made equal. The response of the LLM depends heavily on the quality of the prompt and the context given to it. Thus its worth while spending some time understanding prompt engineering and how to do it properly.…

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LLMs: This Jen, is the internet. 6:36

for 1 year siden6:36

6:36

Referencing the classic episode from IT Crowd - we take our first dive into the world of LLMs by talking about neural nets and how they form the basis of the LLMs we know today. We touch on the famous paper - All you need is attention, and then talk about what LLMs under the hood are really about.

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Welcome to the world of GenAI. 9:07

for 1 year siden9:07

9:07

After a year long break - Im back with an update on Gemini and Gen AI taking over. In this episode I talk about the over all impact of Gemini and LLMs and how can we use them better in our daily lives.

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EngineeringLeadershipPakistan - Lamak Qaizar @ Bazaar Tech 28:53

for 2 years siden28:53

28:53

I had a great chat with Lamak, who works at one of the startups in Karachi called Bazaar Tech. We discussed several interesting topics including team structures, full stack development, performance reviews and more! Thanks Lamak for taking time out for this episode of EngineeringLeadershipPakistan.

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