Arslan Ihsan’s Post

Check out the latest episode of Scaling Tech Podcast, where Rob O'Brien and Moin Haque discuss how natural language interfaces are transforming tech. They explore the concept of "English is the new Python," emphasizing the importance of prompt engineering, building strong data foundations, and the evolving role of technologists. This episode offers valuable insights for tech leaders on leveraging AI to drive innovation and efficiency in their organizations. Don't miss it! Listen now: https://lnkd.in/eeB_EvMt

Since this is the season for finding unexpected little treasures, I decided to drop in a bonus Monday episode of How to Lend Money to Strangers 🥚 Only, instead of being just another chocolate egg, this one is a close look at CreditPy, a helpful new tool for you credit scorecard builders out there, especially those of you working with AI and Machine Learning 😁 I'm chatting to Ayhan Diş, author of CreditPy, about the tool, the upcoming CreditPy Pro, and the data science world in which it operates, with its regulations, trends, and things to consider. Please do jump into the comment here if you've tried it out, or indeed if you have been using CreditR, its much-loved predecessor.

I recently tried Google’s NotebookLM “Audio Overview” feature, and I believe it’s a great way to absorb content. You can upload any file—whether it’s a book, article, or report—and get a quick audio summary where AI hosts discuss the key points like a podcast. I feel this tool is very relevant today, as many of us are more inclined to learn through audio and visual formats due to the influence of social media and digital content. It seems like a great way to keep our attention on important books and topics that might otherwise be hard to get through. If anyone else has tried this or has thoughts on using AI for learning, I’d love to hear your experiences! #AI #Learning #DataScience #Technology #Python #ISLP

📣🎙️New Episode Released - The Python People Podcast🎙️📣 Join me this week as I speak with Giancarlo Cobino , a highly experience Engineering and AI Leader. This week, we discuss many interesting topics such as drift theory in machine learning models, and how to recognise and rectify it. As well as discussing Giancarlo's experiences managing heterogeneous Data Science and Machine Learning teams. Links to the full video 📺 and audio 🎧 episodes below in comments ⬇️ ⬇️ ⬇️ #community #dataleaders #podcast #TrueNorth

Part 2/2 of post.  link for 1/2: https://lnkd.in/dGJKBDyX Now I came back to #Python (#Pandas and full #DataScience path) and with smaller tempo I'm continuing Maven Analytics path - why I decreased effort ... ... because New has come. Through great episode #710 of my favourite podcast #SuperDataScience I met Kris Ograbek. I followed him on #LinkedIn and after one of his posts (about how importent in learning is to have a Mentor) I decided to message him. He took me under his supervision and my learning was raided to another level.  Thanks to Kris Ograbek, I started my first AI project. He tailors tips and advice to my current skills and needs. He clearly explains complex AI topics, which helps me learn faster. Working with Kris Ograbek gives me support and motivation to keep building and upskilling. I am excited by the next tasks and hope that in near future I will be able to present some insights from the project. Am I regreating some steps - Definiately No!  Maybe I could skip some steps or made something quicker but it all brought me where I am now.   Contiuing my path and looking for more I hope that some day I will be able to help to somone else in her/his path. PS. This is my longest post and it was not suported by Ai :) Stay healthy and don't stop dreaming! If You have some insights from Your own path, please give me a comment or DM me. I would like to hear about it.

Uusi jakso julkaistu! New episode published! We are excited to announce that we have a special guest on our podcast for the very first time! We are thrilled to have Kabatubare AI Assistant for Troy Woodson, sharing his evolving story of transformation from a sales representative to an AI developer. Kabatubare's open-minded attitude and creative drive have pushed him to learn Python, develop software products like an audio watermarking tool, and even collaborate with a team of AI bots. Don't miss this episode! This episode is exceptionally in English. #aikahyvamaailma #ai #podcast

New Episode Alert! Our latest episode of 'The Newzchain Podcast' is now live! We're thrilled to welcome Bruno Vieira Costa, founder of Abstra, to discuss how their innovative use of AI and Python is revolutionizing business automation. Tune in here - https://lnkd.in/gWvjgatT Dive into the conversation and discover how Abstra is simplifying complex processes and enhancing efficiency across industries. Tune in now on all major platforms! #TechPodcast #BusinessAutomation #Abstra #TheNewzchainPodcast

If you are looking for good sources to learn LLMs, RAG, and Embeddings and build a very good useful to help decide whether or not it's worth watching that long podcast that is on your watch list. 🤖 Santiago Valdarrama got you covered. This quick tutorial will teach you all this content for free! https://lnkd.in/gnrK7Txv #ai #llm #llmops #rag #openai

Is #AI enhancing your business efficiency, or just adding to the noise? 🤔 In the latest episode of the Real Python Podcast, Six Feet Up CTO Calvin Hendryx-Parker sits down with host Christopher Bailey to discuss LLM #chatbots. According to Calvin, chatbots should be used as customized solutions that address real-world problems, not generic tools. 💡 The takeaway? It's not about using AI for the sake of it. It's about crafting a strategic fit that delivers without overcomplicating. 🎧 LISTEN NOW: https://lnkd.in/dM5Ktnj9

🔥Meta released a 4 notebook guide on building open-source NotebookLM to generate an AI Podcast! Here are the steps 👇 1️⃣ Step 1: Pre-process PDF: Use Llama-3.2-1B-Instruct to pre-process the PDF and save it in a .txt file. 2️⃣ Step 2: Transcript Writer: Use Llama-3.1-70B-Instruct model to write a podcast transcript from the text 3️⃣ Step 3: Dramatic Re-Writer: Use Llama-3.1-8B-Instruct model to make the transcript more dramatic 4️⃣ Step 4: Text-To-Speech Workflow: Use parler-tts/parler-tts-mini-v1 and bark/suno to generate a conversational podcast. #ai #ml #notebooklm #aipodcast #meta #opensource #developers #python #llm #learning