Robbie Forrest @ForrestOperator

The most obvious, lowest risk way to use AI (and to get a sense of how good it is) is to ask it for second opinions in your area of expertise. This works across most fields. And I’d go further: increasingly, not using AI as a second opinion is going to lead to worse outcomes.

AI is eating up consulting. I used 3 prompts on ChatGPT to mimic a $600/hour consultant, achieving in 4 hours what takes weeks for teams. Here's how to make ChatGPT your pocket-sized McKinsey consultant: (my exact prompt + examples)

If you're an engineer who's feeling hesitant or overwhelmed by the innovation pace of AI coding, this thread is for you. Here's the 10% of fundamentals that will put you in the 90th percentile of AI engineers. 🧵/many

My hot take: prompting skills have a shelf life. In a few years, our laziness will pull quality out of crap prompts.

Peter Yang @petergyang

4 months ago

My hot take: prompting skills have a shelf life. In a few years, our laziness will pull quality out of crap prompts.

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Now you don't even need to learn how to do stuff on Youtube . . .

Cline @cline

4 months ago

Now you don't even need to learn how to do stuff on Youtube . . .

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Introducing a new abstraction for agentic memory 💫 Memory is a huge topic for agentic systems - how do you store and retain information over time? - and while we've seen a lot of approaches on this topic, we spent a lot of time figuring out the right abstraction balance between…

LlamaIndex 🦙 @llama_index

4 months ago

Introducing a new abstraction for agentic memory 💫 Memory is a huge topic for agentic systems - how do you store and retain information over time? - and while we've seen a lot of approaches on this topic, we spent a lot of time figuring out the right abstraction balance between… https://t.co/myB7FM4zG6

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It's time to rethink everything you do. Start assuming a computer can do it, and then design your process.

Henry Shi @henrythe9ths

4 months ago

It's time to rethink everything you do. Start assuming a computer can do it, and then design your process.

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🚨 Anthropic dropped a free guide on Prompt Engineering and it's insanely useful. Learn how to write smarter prompts that get better results. Here’s what’s inside:

The rate of progress in AI is so fast right now that many companies have a late mover advantage.

The Toolformer paper is underwhelming. Teaching an LLM to use tools is exciting! but the tools considered are disappointing. So much effort to choose between Wikipedia and a calculator?! There are a few compelling insights though! So, what should you take away?

The ReAct Paper is next-level prompt engineering. If you understand how it works then you can start building LLM apps that are way more factual than chatGPT and can use external APIs and tools. Check-out the example at the end. To understand ReAct, let's think step-by-step:

Is LLM finetuning worth it? If you know what you're doing, finetuned models can be 30x smaller❗️without losing performance. This can unlock applications that would otherwise be too expensive or slow. STaR is a great example of doing it right. (DIY instructions at the end)

Just tried making an AI song. I’m pretty impressed. What do you think ? suno.com/song/1916ca25-…

Excited for today’s book launch. Hopefully this book will help folks be prepared for the rapid changes coming in education and work (and be in a position to shape them for the better).

Generative AI (gen AI) promises to usher in an era of transformation for quality, accessibility, efficiency, and compliance in the financial services industry. As with any new #technology, it also introduces new complexities and risks. Read more ⬇️

Alliance for Innovative Regulation (AIR) @AIRinnovate

11 months ago

Generative AI (gen AI) promises to usher in an era of transformation for quality, accessibility, efficiency, and compliance in the financial services industry. As with any new #technology, it also introduces new complexities and risks. Read more ⬇️

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2025 is bringing a convergence of huge currents of change in financial regulation, especially with the arrival of the second Trump administration. In my opinion, this convergence could be an opportunity to modernize and improve the ways in which the U.S. regulates finance.

Really great article by Rob. Perfect for reading with a fresh cup of tea.

CUBE @CUBEGlobal

5 years ago

Really great article by Rob. Perfect for reading with a fresh cup of tea.

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Our experts explain how multi-jurisdictional financial institutions should be utilising horizon scanning as part of a complete RegTech solution: bit.ly/2zCbkhD #RegTech #HorizonScanning #Compliance #Banks #Regulations

Every time I see someone complain that ChatGPT has "got worse" I'm reminded that a weird thing about these tools is that everyone's style of using them is completely different So it's quite possible it got worse for one person's prompt style without a similar impact for others

Here's the table of contents for my lengthy new piece on how I use LLMs to help me write code