How To Be An Effective Tech Lead [Part 6] - Be The Code Guardian

As a tech lead, you are ultimately responsible for all the code that is delivered. The tricky part is that you need to do this without simply writing all of it. This lesson teaches you:

- The role tech leads play when it comes to cleaning up the code and paying down tech debt
- A high-level, multiplicative lever tech leads should pull to enforce code quality
- The in-the-weeds tactic tech leads need to constantly use to keep code quality high

To get better at code reviews, particularly those outside of your immediate domain, read through this: ["How to give better code reviews without full business context?"](https://www.jointaro.com/question/vio35mw1SYWM8AYojB2w/how-to-give-better-code-reviews-without-full-business-context/)

How To Be An Effective Tech Lead [Part 5] - Think High-Level, Plan Long-Term

As a software engineer, it's way too easy to get lost in the weeds, fixating on details that ultimately don't matter. As a tech lead, you need to avoid rabbit holes like the plague. This lesson teaches you:

- The overall mindset tech leads must have when planning through and executing a project
- What it actually means to see the forest, not just the trees, with a detailed example from Jocelin's past
- How to own the overarching goal behind a project or workstream
- How to thoroughly think through dependencies

How To Be An Effective Tech Lead [Part 4] - Go Deep, Not Broad

In order to become a tech lead, you need to have incredibly effective technical skills. So what does that mean?

- What it takes for your technical skills to be respected as an engineer
- Why depth is more important than breadth
- What it means to have true technical depth, shown with an in-depth example

To sharpen your technical depth, take our code quality course: [\[Course\] Level Up Your Code Quality As A Software Engineer](https://www.jointaro.com/course/level-up-your-code-quality-as-a-software-engineer/)

How To Be An Effective Tech Lead [Part 3] - What Makes A Good Tech Lead

Good tech leads provide immense value to their teams through a large collection of ways. This lesson teaches you:

- What it means from a technical skills perspective to be a good tech lead
- How good tech leads exercise effective leadership
- The mindset tech leads must champion

How To Be An Effective Tech Lead [Part 2] - Why Most Tech Leads Suck

There are far more bad tech leads than good tech leads. But why is that? This lesson teaches you:

- How tech leads struggle when they have bad intentions
- How tech leads struggle when they have good intentions

How To Be An Effective Tech Lead [Part 1] - How This Course Works

As a software engineer, you need to eventually grow into a tech lead to pursue more senior levels. However, it's much easier being a bad tech lead instead of a good tech lead - This course is here to help you be the latter. Here are the core parts of the lesson:

- Your instructor [Jocelin Ho](https://www.linkedin.com/in/jocelinho/) walks you through her extensive 10+ year tech background as a Meta tech lead and the CTO/Cofounder of Cooby (Sequoia-backed startup), where she built engineering teams from scratch and mentored other tech leads

- You'll understand if this course is a good fit for you

- We walk you through the course objectives. By the end of the course, you will know:

  - 💡 The full definition of an effective tech lead

  - 💻 What technological skills tech leads must possess

  - 🙌 How tech leads demonstrate true leadership

  - ✅ Practical tips to start acting as a tech lead

The BIG Difference Between The Mindset of American And European Tech Workers

Belief in growth is the primary difference between Software Engineers in the USA vs Europe. Many American tech workers understand that their equity options can be huge if their company succeeds. However, European tech workers are often more geeky and "pure" as engineers.

Lessons From Crossing $10M ARR (Entirely Inbound)

How did James achieve viral growth as a product analytics company? How does the open-core model of the company help them grow? How deliberate were they with growth?

Why You Should Be Racist Toward European VCs (An Argument For YC)

James lists his location as San Francisco Bay Area simply to avoid the horrible European VCs (Venture Capitalists).

Why There Will Be Fewer Product Managers In Tech

The trend is clear: engineers will have increasingly more power in the workplace, and the number of PMs needed for 'alignment' will diminish.

The Mistake Engineers Make During The Reverse Interview

Too many engineers don't think critcally about the impact of the last 5-10 minutes of an interview.

The Really Important Job Interview Questions Engineers Should Ask (But Don't)

Basic questions that engineers should ask when interviewing at any company. 

From the Posthog blog: <https://posthog.com/founders/what-to-ask-in-interviews>

Paper Reading: The Future of Large Language Model Pre-training is Federated

Session led by [Mike A](https://www.linkedin.com/in/malik-mike-a-32b63818b/)

Is the future of model pre-training decentralized?

Join us for a captivating session as we explore the cutting-edge breakthrough of federated learning in language model pre-training, featuring an in-depth discussion of the "The Future of Large Language Model Pre-training is Federated" paper!

This paper reading event will shed light on how federated learning (FL) could be set to revolutionize the training of large language models (LLMs). Discover how FL could mobilize vast, underutilized data and computational resources from across the globe, enabling large-scale collaboration and democratizing the pre-training of LLMs. Learn about the innovative approach that allows organizations, and hopefully, soon individuals, to collectively train LLMs using limited resources while matching or even surpassing the performance of traditional centralized models!

This event is a must-attend for AI researchers, software developers, data scientists, and tech enthusiasts eager to grasp the future of LLM pre-training and its implications for AI advancements. Whether you're interested in scaling AI models, leveraging federated learning for collaborative training, or simply curious about the next big thing in AI technology, this paper reading offers invaluable insights and discussions on some of the latest AI research.

Mark your calendars and join us for an exciting hour of "Federated Learning: The Future of Large Language Model Pre-training" exploration!\
\
**Reference Links:**\
[https://flower.ai/\
https://github.com/adap/flower](https://flower.ai/￼https://github.com/adap/flower)

Paper Reading: Beyond Next-Token Prediction: Enhancing Language Models with Multi-Token Outputs

Session led by: [Lucia Mocz](https://www.linkedin.com/in/lucia-mocz-ph-d-35a98a1b6/)

In this talk, we will look at groundbreaking research on advancing the training of large language models. Traditional models like GPT and Llama rely on next-token prediction, which can be expensive and time-consuming, but this research suggests a more efficient approach: multi-token prediction.

**Key Highlights:**

- **Enhanced Sample Efficiency**: Training models to predict multiple future tokens at once increases sample efficiency, leading to significant improvements in downstream capabilities.
- **Innovative Architecture**: By employing n independent output heads on a shared model trunk, better performance with no additional training time can be achieved.
- **Superior Performance**: 13B parameter models outperform strong baselines on generative benchmarks, solving 12% more problems on HumanEval and 17% more on MBPP.
- **Algorithmic Reasoning**: Multi-token prediction fosters the development of induction heads and enhances algorithmic reasoning capabilities.
- **Faster Inference**: Models trained with 4-token prediction are up to 3 times faster during inference, even with large batch sizes.

Join us to explore how multi-token prediction can revolutionize language model training and performance, especially for coding and natural language tasks.

Don't miss this opportunity to learn about the future of language model training and its practical applications!\
\
Paper: [**https://arxiv.org/pdf/2404.19737**](https://arxiv.org/pdf/2404.19737)

Maximizing a Severance Package 9/9 - Summary

Watch Ethan's other course on Taro about [Managing Up](https://www.jointaro.com/course/managing-up-build-effective-relationships-with-your-boss/) and [The Growth And Promotion Recipe](https://www.jointaro.com/course/the-growth-and-promotion-recipe-magic-loop/)

Follow ups:

- Connect with [Ethan on LinkedIn](https://www.linkedin.com/in/ethanevansvp/)
- Taro members get a discount to join [**Ethan's Level Up community**](https://levelupwithethanevans.substack.com/taro25)

Maximizing a Severance Package 8/9 - Can You Sue?

- Connect with [Ethan on LinkedIn](https://www.linkedin.com/in/ethanevansvp/)
- Taro members get a discount to join [**Ethan's Level Up community**](https://levelupwithethanevans.substack.com/taro25)

Maximizing a Severance Package 7/9 - Common Asks and Gives

Maximizing a Severance Package 6/9 - The Mind of the Manager

Maximizing a Severance Package 5/9 - Preparing Your Case

Let's talk about how to prepare your case to maximize your severance package.

- Connect with [Ethan on LinkedIn](https://www.linkedin.com/in/ethanevansvp/)
- Taro members get a discount to join [**Ethan's Level Up community**](https://levelupwithethanevans.substack.com/taro25)

Maximizing a Severance Package 4/9 - Never Accept on the Spot

During a termination, don't sign anything on the spot. **Buy time.** Buy time to do your research, to prepare, and to come back and negotiate.

- Connect with [**Ethan on LinkedIn**](https://www.linkedin.com/in/ethanevansvp/)
- Taro members get a discount to join [**Ethan's Level Up community**](https://levelupwithethanevans.substack.com/taro25)

Tech Career Growth Videos

Our instructional videos provide software engineers with insights needed for career growth. Masterclasses go incredibly in-depth on a specific tech topic while case studies are real examples from established engineering leaders.