Machine Learning Teeta

Aly Abdurrazek
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We get lost in the details. Always find ourselves not knowing where to begin or where we are heading... Lets take a bird's view on things. So we would have a better idea on how to get to where we want. This podcast is a bird's eye view on all things machine learning. Explained to people in a hurry. ( You and me :)

  1. 2024. 05. 13.

    GPT 4O from openai

    We comment on the latest announcement by openai for their latest gpt4o model. What are the model capabilities and what are the strategy behind developing such a model and what does it mean to all of us?

    15분

  2. 2024. 05. 10.

    Be indifferent

    Non-technical episode. Becoming indifferent to the fruits of your work or to the praise you might get from people around you is key to success. Let's see how.

    20분

  3. 2024. 04. 24.

    Llama 3, context window and LSTMs

    We discuss three main things. First the release of llama 3. Model by meta. Second, we answer the question as to why LLMs with longer context windows are not always better. Then finally, we explain when LSTMs should be used over Transformers. Enjoy!

    36분

  4. 2024. 04. 10.

    Managing machine learning projects

    Three points that you need to attend to, to become a good manager and to be able to make 'good' decisions that people follow. Listen to this episode to know what they are.

    24분

  5. 2024. 03. 22.

    What is up with AI

    Open AI k, GTC, and the AI revolution. And what can we do about it?

    27분

  6. 2024. 03. 14.

    Artificial intelligence Value stream

    AI value is created via a sequence of activities, from chip making, all through building and training foundation models, and building tools, to the application development. In this episode, we discuss these stages and what it means to the industry.

    27분

  7. 2024. 03. 10.

    Introduction to RAG systems (Retrieval Augmented Generation)

    What are RAG systems ? Why do they matter? What are the LLM problems that are solved by RAG systems? What are the tools to create a RAG system and what does a typical system look like? Find the answers in today's episode.

    24분

  8. 2022. 04. 21.

    Bias and variance

    Simply, what are the bias and variance? Why is there a tradeoff between them? Listen to this episode to learn about this fundamental topic which is usually asked about during data science and machine learning job interviews.

    13분
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예고편

소개

We get lost in the details. Always find ourselves not knowing where to begin or where we are heading... Lets take a bird's view on things. So we would have a better idea on how to get to where we want. This podcast is a bird's eye view on all things machine learning. Explained to people in a hurry. ( You and me :)

정보

  • 제작진
    Aly Abdurrazek
  • 방송 연도
    2021년 - 2024년
  • 에피소드
    18
  • 등급
    전체 연령 사용가
  • 저작권
    © Aly Abdurrazek
  • 웹사이트 보기
    Machine Learning Teeta