Cedric Yau @ctyau
Leveraged #ADHD hyperfocus to achieve a top-tier CompSci Masters from UIUC at 20. Now exploring the intersection of AI, Fitness, Productivity, and Happiness. New York, NY Joined April 2008-
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Here's a checklist of 60 modern luxuries for entrepreneurs and creators aiming to live well in 2024: How many do you check off? 1. A+ headphones, A+ coffee/tea, A+ laptop 2. 1+ project that brings in $2k+/month relatively passively 3. International airport within 30 minutes…
When classic software and hardware fails, it is possible to Google and find an answer because many others have arrived at the same error state. With LLM-based software, the failure modes are more diverse and unique, so prompt engineering skills are required to find a solution.
When classic software and hardware fails, it is possible to Google and find an answer because many others have arrived at the same error state. With LLM-based software, the failure modes are more diverse and unique, so prompt engineering skills are required to find a solution.
Was asked by a client to join a 6.8MM row table with a 228MM row table by latlong. By adding Bing Tiles, the join time was reduced from an estimated 2 weeks to 148 seconds. As part of my deep dive into Geospatial indices, I really loved this H3 Hierarchical (Non)Containment…
@mattshumer_ I built something similar to this using iMessage and integrated with @ReadwiseReader. iMessage allows for longer messages. GPT4 prompt also helps with auto-tagging.
Given Sauer’s argument with Sotomayor, could Biden deem Trump to be corrupt and have the military assassinate him while retaining immunity?
i’ve been thinking about Meta’s support for open-source AI all day, wondering what zuck’s business justification must be. you can’t run a $1T co on ideology alone. but when you google the financials of Meta ($134B/yr) compared to a co like OAI, ($1.6B) it starts to make sense:
llmlingua - This great lib from Microsoft can 𝗰𝗼𝗺𝗽𝗿𝗲𝘀𝘀 your prompt massively. 📌 Up to 20% of the prompt's original length (5x reduction), leading to massively reduced cost and latency. 🔥 speed up LLMs' inference and enhance LLM's perceive of key information, compress…
It doesn't take much code at all to do this (taking advantage of Python stdlib's ElementTree)
So, when we say "Use XML tags", we don't mean you have to. We just mean that it helps. To reflect this, we have recently updated our documentation. Prompt engineering tips like this are now referred to as "Performance Enhancers" and can be found at docs.anthropic.com
⚡️ Speed up LLM inference by 5x. ⚡️ We introduce a new framework, coalescence, that makes structured generation several times faster than standard generation. Coalescence is very flexible, and raises unexpected questions 🧐 blog.dottxt.co/coalescence.ht…
One prompt engineering method includes using both positive and negative prompting. For humans we can use POSITIVE prompts to steer us toward desired behaviors and NEGATIVE prompts to deter us from specific actions. Balance what to embrace AND what to avoid for optimal growth.
Neural Radiance Fields, or NeRF, are akin to the human skill of visualization. Just as NeRF constructs 3D scenes from limited 2D data, your mind can build a rich, multidimensional future from present thoughts. Harness the clarity of mental imagery to shape a future you desire.
Stochastic Gradient Descent in AI optimizes by moving toward the minimum of a function. Think about this for humans. Continuous, incremental improvement means learning from each step and adjusting your path based on what works and what doesn't. If AI can optimize, so can you.
Spiking Neural Networks (SNNs) operate by processing information in the form of spikes, akin to the way neurons fire. Think of your actions like spikes. By consciously deciding when and how to spike, you shape your life. Focus wisely and act at the right time for maximum impact.
In AI detecting hallucinations ensures accurate responses. Humans too can "hallucinate," clinging to lies. Sharpen your system prompt to discern truth from fiction and cultivate a mindset that questions, adapts, and aligns with reality. Program yourself for the SUCCESS of truth.
Recurrent Neural Networks (#RNN) are an AI model that process sequences, like text or time series data. They have "memory" of previous inputs. Like an RNN optimizing its performance, you too can focus on memories and inputs that empower you the most to optimize your life's path.
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Pliny the Prompter �.. @elder_plinius
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AI is like reverse Hitler to me cause we keep waiting on it to kill everybody but it won't stop making art
@ctyau I can tell WSJ has definitely been more effective from the other "newspaper" sites merely from repeated clicks on social media links & aggregating sites over an extended period of time.
Want to completely automate your client onboarding system? I just filmed a 6-minute video breaking down how it's done. This could save you 5+ hours per week. Like + & comment "free" and I'll DM it to you. (Must be following)
i can't believe the one skill i learned in 2023 was the publicity and marketting. in 2022 i learned to sing and i made my date cry singing fly me to the moon and in 2023 i learned to add a CTA and write a hook? man.... tech ruins everything
@jspujji The crazy thing I have found about trying to be an entrepreneur is not knowing what to do next. You have to work it out. There’s no roadmap or boss telling you what to do. You could be working on something for weeks or months and not know if you will see a return. Wild.
The paper book is a delight, but you can also find this on Kindle: amazon.com/Are-Your-Light…
Over the past 3 months, I: • Lost my job • Exceeded my old salary • Changed the trajectory of my life All while finishing up my bachelor's degree. I've written an article detailing this wild ride and my plans for 2024. constantout.com/articles/the-t…
2024 is almost over and although I didn’t hit all my goals I did reach some pretty cool milestones. 1. Promoted to Senior Tech Lead of Software Development 2. Bought a house 3. Presented my Web App at Fort Benning military base in GA. Much more in store for 2024. Can’t wait!
December Experiment: Treating myself like a sophisticated AI. 🤖 Day 3 Update: Just integrated my personal mission statement into my master system prompt. ⚡️ Suddenly, it's more than task automation - it's living with intention and purpose. 🌟 #MindfulTech #PurposefulLiving
After a few more optimizations Metal is now faster than Core ML across the board Most of the speed-up here actually came from the work in llama.cpp. Nice to see everything coming together so nicely 🎉
@primo_data @LangChain of course you can add files to the response like in this example github.com/shroominic/cod…
We created a single, easy-to-search PDF file from the DuckDB documentation: duckdb.org/duckdb-docs.pdf This is a preview version – if you find any issues, please report them at github.com/duckdb/duckdb-…
@ctyau @trychroma @nomic_ai @LangChainAI I'm using 32GB
I've started a company: ggml.ai From a fun side project just a few months ago, ggml has now become a useful library and framework for machine learning with a great open-source community
@tobi @brandon_xyzw @jarredsumner It should be possible for certain networks with parallel layers although the synchronization code might be tricky to get right An alternative easier to implement is to use CPU + ANE to process the next prompt while the real-time generation is running on the GPU in parallel
I can never remember the IDs of extensions when creating a @code devcontainer, but check out how easy @GitHubCopilot makes it. Type a comment and ask for the extensions 🤩
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