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Lak Lakshmanan
Lak Lakshmanan

9.1K Followers

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Published in Towards Data Science

·1 day ago

Four Approaches to build on top of Generative AI Foundational Models

What works, the pros and cons, and example code for each approach — If some of the terminology I use here is unfamiliar, I encourage you to read my earlier article on LLMs first. There are teams that are employing ChatGPT or its competitors (Anthropic, Google’s Flan T5 or PaLM, Meta’s LLaMA, Cohere, AI21Labs, etc.) for real rather for cutesy demos. Unfortunately, informative…

Generative Ai

11 min read

Four Approaches to build on top of Generative AI Foundational Models
Four Approaches to build on top of Generative AI Foundational Models
Generative Ai

11 min read


Published in Towards Data Science

·Feb 8

How to Treat Data as a Product

Maximize the leverage you get from data by applying product management principles — Many organizations aspire for their technology to go from being a cost to being a differentiator — this is true for data technologies as well. The way you’ll often hear this aspiration expressed is “we want to treat data as a product”. Different definitions A few years ago, what many executives meant…

Data Science

10 min read

How to Treat Data as a Product
How to Treat Data as a Product
Data Science

10 min read


Jan 12

Trends in Data and AI to align with

What the best organizations will be doing in 2023 — Looking ahead to 2023, I foresee a few trends that will play out in the data and AI space. If you are a leader of a data function, it might be worth aligning your product roadmaps to take advantage of these trends. …

2023

4 min read

Trends in Data and AI to align with
Trends in Data and AI to align with
2023

4 min read


Published in Becoming Human: Artificial Intelligence Magazine

·Dec 15, 2022

Why large language models (like ChatGPT) are bullshit artists

And how to use them effectively anyway — ChatGPT has sparked the imagination, and fears, of many people, but I find that many misunderstand what ChatGPT actually is. Instead, they get caught up in what it seems to be. My goal in this article is to get you to the point where you can come up with potential…

Chatgpt

10 min read

Why large language models (like ChatGPT) are bullshit artists
Why large language models (like ChatGPT) are bullshit artists
Chatgpt

10 min read


Nov 23, 2022

Snowflake or Databricks? BigQuery or Dataproc? Redshift or EMR?

How to choose the product to build your data platform upon — An organization that seeks to get better at how they use data and AI will need to get their data architecture into shape. Assuming that you are going to be building your data platform on the cloud, you will find yourself trying to make the choice between Snowflake, Databricks, BigQuery…

Data Warehouse

9 min read

Snowflake or Databricks? BigQuery or Dataproc? Redshift or EMR?
Snowflake or Databricks? BigQuery or Dataproc? Redshift or EMR?
Data Warehouse

9 min read


Published in Becoming Human: Artificial Intelligence Magazine

·Nov 2, 2022

Who should be doing machine learning at your company?

The key question for infusing your organization with ML is “who” not “how”. — The big decision that you as a leader have to make on ML is who​ in your organization does different parts of the ML workflow. …

Machine Learning

4 min read

Who should be doing machine learning at your company?
Who should be doing machine learning at your company?
Machine Learning

4 min read


Published in Becoming Human: Artificial Intelligence Magazine

·Sep 18, 2022

No, You Don’t Need MLOps

Keep It Simple: the complexity of full MLOps is rarely needed — MLOps started from a straightforward problem statement — that the technical debt associated with ML models becomes intolerable if the models are not adjusted over time to account for changes in the environment. Since that 2015 observation, ML models and frameworks have been built that make it relatively easy to…

Mlops

12 min read

No, You Don’t Need MLOps
No, You Don’t Need MLOps
Mlops

12 min read


Published in Towards Data Science

·Aug 25, 2022

How to Generate Images with Stable Diffusion in Seconds, for Pennies

And the limitations (today!) of this approach — The authors of Stable Diffusion, a latent text-to-image diffusion model, have released the weights of the model and it runs quite easily and cheaply on standard GPUs. This article shows you how you can generate images for pennies (it costs about 65c to generate 30–50 images). Start a Vertex AI Notebook The Stable Diffusion model…

Stable Diffusion

6 min read

How to Generate Images with Stable Diffusion in Seconds, for Pennies
How to Generate Images with Stable Diffusion in Seconds, for Pennies
Stable Diffusion

6 min read


Jul 30, 2022

Thru-hiking the Enchantments, Washington

A step-by-step guide to preparing for, and doing the hike. — I hiked the 18-mile one-way trail across the Enchantments in July 2022. In this article, I’ll talk about what the Enchantments are, how I prepared for the hike, the logistics of the hike, and share my experience of the hike itself. What are the Enchantments? The Enchantments is an area near Leavenworth in Central…

Hiking

16 min read

Thru-hiking the Enchantments, Washington
Thru-hiking the Enchantments, Washington
Hiking

16 min read


Published in DataDrivenInvestor

·Jul 17, 2022

Why estimating the number of bots in Twitter is not an ML problem and 100 accounts per day is sufficient

Explaining the fallacy in the lawsuit against Twitter — Some highly paid lawyers made this dubious argument in the filing against Twitter: Because there are really good bots, the lawsuit uses the words “false or spam” to refer to bad actors on Twitter. Still, “false or spam” is a mouthful, so I’ll use the word “bot” in this article. The argument …

Twitter

6 min read

Why estimating the number of bots in Twitter is not an ML problem and 100 accounts per day is…
Why estimating the number of bots in Twitter is not an ML problem and 100 accounts per day is…
Twitter

6 min read

Lak Lakshmanan

Lak Lakshmanan

9.1K Followers

articles are personal observations and not investment advice.

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