Towards AI

Towards AI

科技、信息和网络

Wilmington,Delaware 268,944 位关注者

Making AI accessible to all with our courses, blogs, tutorials, books & community.

关于我们

Making AI accessible to all with our courses, blogs, tutorials, books & community. Since 2019 we have helped teach over 400k about AI. Now we also help corporate teams get started using or building with the latest AI tools and models.

网站
https://towardsai.net/
所属行业
科技、信息和网络
规模
51-200 人
总部
Wilmington,Delaware
类型
私人持股
创立
2019
领域
artificial intelligence、machine learning、deep learning、data science、natural language processing、computer vision、research、computer science、statistics、machine intelligence、machine translation、algorithms、data mining、distributed systems、parallel computing、information retrieval and the web、data engineering、speech processing、applied science、optimization、cloud ai、network infrastructure、perception and security、privacy and abuse、robotics、human computer interaction、science、technology、engineering、future和news

地点

  • 主要

    2810 N Church St

    PMB 99625

    US,Delaware,Wilmington,19802

    获取路线

Towards AI员工

动态

  • 查看Towards AI的公司主页,图片

    268,944 位关注者

    Today we are launching the most comprehensive and practical LLM Developer course out there! In ~90 lessons we teach the full set of skills needed to build great products on top of foundation LLMs. From choosing a suitable LLM application to collecting data, iterating on many advanced techniques (RAG, fine-tuning, agents, audio, caching), integrating industry expertise and deploying. You will finish the course with a working product and what we hope will become the gold standard certification for LLM Developers. $100bn+ is now being spent each year on chips for these models but we think many millions of LLM Developers will be needed to build the customised reliable products that are needed to drive widescale enterprise adoption of the technology. https://lnkd.in/e-YGZzER

    查看Louis-Fran?ois Bouchard的档案,图片

    Making AI accessible. ?? What's AI on YouTube. Co-founder at Towards AI. ex-PhD Student.

    I am super excited to finally announce that we ( Towards AI ) released our first independent industry-focussed course: From Beginner to Advanced LLM Developer. Put a dozen experts (frustrated ex-PhDs, graduates and industry) and a year of dedicated work, and you get the most practical and in-depth LLM Developer course out there (~90 lessons). It is a one-stop conversion for software developers, machine learning engineers, data scientists, aspiring founders or AI/Computer Science students. We think many millions of LLM Developers will be needed to build reliable customised products on top of foundation LLMs and achieve mass GenAI adoption at companies. We want to help you lead this new field! One of the reasons I quit my PhD in AI (one year + 8 days ago) was to build practical solutions that will help others in the real world and improve what exists. Along with our book, this course is our attempt to achieve this goal. While I love academia, when I first stepped into a startup in 2019, I knew nothing all over again. I needed to understand the problems in the real-world application of AI and build solutions for it. Not just research but real models, products, and people using them. But here’s the thing: grasping these challenges is merely the first step. For the ‘how’ part of it, you need to get into the code, the architecture, the models, the APIs, the deployments, the trials and errors, and the complex and wide varieties of frameworks - you don’t have time to reinvent the wheel in a startup! This discrepancy between academia and the industry is even worse in the LLM era. So we’ve gathered everything we worked on building products and AI systems and put them into one super practical industry-focused course. Right now, this means working with Python, OpenAI, Llama 3, Gemini, Perplexity, LlamaIndex, Gradio, and many other amazing tools (we are unaffiliated and will introduce all the best LLM tool options). It also means learning many new non-technical skills and habits unique to the world of LLMs. The only skill required for the course is some Python (or basic programming) knowledge. We cover the full stack of learning to build on top of foundation LLMs - from choosing a suitable LLM application to collecting data, iterating on many advanced techniques (RAG, fine-tuning, agents, audio, caching), integrating industry expertise and deploying. Our students will create a working product, which we certify, and we also provide instructor support in our dedicated Discord channel. This could become the seed of a startup, a new tool at your company or a portfolio project for your LLM job applications. You can find all the lesson titles and more information on the course page linked below (or comment/DM your questions!). “From Beginner to Advanced LLM Developer” is now available on the Towards AI Academy: https://lnkd.in/dQS3Gzkn #llms #llm #llmdeveloper #llmops

    • 该图片无替代文字
  • 查看Towards AI的公司主页,图片

    268,944 位关注者

    The standout AI news for us this week was the release of Deepseek’s R1 reasoning model family - the first true competitor to OpenAI’s o1 reasoning models. We think the success of reasoning models and the upcoming open source release from DeepSeek significantly increases competition and will lower barriers to entry in the LLM field. We also think a focus on inference time scaling rather than training compute scaling makes it more likely smaller labs and the open source community can continue to compete and deliver breakthroughs going forward.?

    TAI #127; DeepSeek releases R1-Lite - the first reasoning model competitor to OpenAI’s o1

    TAI #127; DeepSeek releases R1-Lite - the first reasoning model competitor to OpenAI’s o1

    Towards AI,发布于领英

  • 查看Towards AI的公司主页,图片

    268,944 位关注者

    What happened in #AI? Several new models were released, including an impressive update from Google Gemini, which took the top spot on the Chatbot Arena. Mistral also launched its new open-source 124B multimodal Pixtral model, now best in class for some use cases. Additionally, Alibaba open-sourced its efficient and powerful Qwen2.5-Coder series, featuring models ranging from 0.5B to 32B parameters. Read more updates in the issue!

    TAI #126; New Gemini, Pixtral, and Qwen 2.5 model updates; Towards AI’s From Beginner to LLM Developer course!

    TAI #126; New Gemini, Pixtral, and Qwen 2.5 model updates; Towards AI’s From Beginner to LLM Developer course!

    Towards AI,发布于领英

  • Towards AI转发了

    Time to ?????????? your ?????????????? ???????????????? ?? Let's build ????????????????????-?????????? ?????? ???????????????????????? ?? ----- When I received this book, a phrase from Pau Labarta Bajo inmediately came to my mind: "???? ?????????????? ?????? ?????? ?? ???????????????? ?????????? ???? $??.????". Simple, concise and true. I think we could even adapt this idea for this book: "???????? ?????????????? ?????? ???????? ?? ???????????????? ?????????? ???? $??.????". That's precisely the main goal of Building LLMs for Production by Louis-Fran?ois Bouchard and Louie Peters: guiding us ?????? ???? ?????? ?????????????? ???? ?????? ?????????????? ?????????????????? and local machines and ???????? ???????????????? ?????? ???????????????????????? ???????? ???????????????? ???????? in the real-world. Don't worry if you're just starting out in the LLM field. The book provides an excellent introduction, covering topics like the ???????????????????????? ???? ???????? (kudos for the amazing explanation of the transformer architecture guys!), ???????????? ??????????????????????, ??????????????????-?????????????????? ???????????????????? (RAG), ????????-????????????, and more. But you know what really resonated with me? ?????? ???????? ????????????????! ?? As someone who loves practical learning, this was my favorite part. So no more reading the book passively lying on the couch. ???????? ???? ???????? ???????????? ?????? ?????????? ???????????? ???? ??????????????! ?? In short, I think this is a very interesting book for those of you interested in the LLM field, especially in how to create real-world applications using these powerful technologies. ???????? ?????? ???????? ????????????????? ?????? ???? ???????? ???? ?????? ????????????????! ?? ----- ?? ???????????? ???? ?????? ???????????????? ?????????????? ???? ???????????????????? ????, ?????????? ?????? ???????????????????? ???? #mlops #machinelearning #datascience #llm

    • 该图片无替代文字
  • 查看Towards AI的公司主页,图片

    268,944 位关注者

    Ahead of the weekend, we want to update you all with a one-off edition of our Tuesday newsletter. At Towards AI, we have been focusing on our core strength: LLM Developer expertise. In this very deep dive, we explain how the LLM Developer role differs from Software Development and Machine Learning and how it is often unappreciated just how critical non-technical skills are to building great LLM products.

    Why We Will Need Millions of LLM Developers? Launching Towards AI’s New One-Stop Conversion Course

    Why We Will Need Millions of LLM Developers? Launching Towards AI’s New One-Stop Conversion Course

    Towards AI,发布于领英

关联主页

相似主页

查看职位