Ching-Wei Chen

Director of Engineering at @datadoghq. Previously Crossing Minds, Spotify, SoundCloud, Gracenote. he/him.

[Ching-Wei Chen @cweichen]

Hi New York friends, I'll be speaking at the next #LeadDev New York Meetup, next Wednesday, Mar 25th at the beautiful Datadog offices in Midtown! My talk is called "Building Developer Products in the Agentic Age" RSVP today! https://t.co/06ZGZ9EuZY

[Ching-Wei Chen @cweichen]

@mewwts I've been seeing people using https://t.co/bx43qT4Shv, haven't tried myself

[Ching-Wei Chen @cweichen]

Here's the post: https://t.co/Ow9oKehMxR

[Ching-Wei Chen @cweichen]

Prompt engineering is like trying to teach your dog tricks by giving it an instruction manual: frustratingly hit-or-miss.
In my latest post I show you how to use our new #RAGSys API to dynamically retrieve few-shot examples, so your LLM learns by example, not guesswork.

[Ching-Wei Chen @cweichen]

Use all the reasoning/test-time compute you want, even the best LLMs are stuck with information frozen at training time.
Read up on our latest technique for KPI-driven self-improving LLMs in our latest blog:
https://t.co/clW6QOr96L @crossing_minds #LLM #AI #RAG #RAGSys

[Ching-Wei Chen @cweichen]

It's time to rethink the MTEB benchmark. When picking embeddings, what works for search isn't always what works for #RAG. Read about our proposal for a better benchmark for RAG+ICL embeddings here: https://t.co/fI0ZsurOOi #ICLERB #LLMs

[Ching-Wei Chen @cweichen]

Do you clerb? ICLERB!

Introducing the In-Context Learning Embedding and Reranker Benchmark (#ICLERB)! It evaluates retrieval models for #LLM in-context learning, based on downstream task performance, not text similarity.

📖: https://t.co/ay2gkWe1Ix
🏆: https://t.co/o6u7t69nCR

[Ching-Wei Chen @cweichen]

I just posted #ClaudeFrancois to @reddit /r/MachineLearning, would appreciate an upvote! 👍
https://t.co/FcZYEUSfFk
#GenAI #CodeReview #LLM #Anthropic #Claude #RAG #RAGSys

[Ching-Wei Chen @cweichen]

🚀 Introducing Claude François🕺, an AI Code Reviewer in the style of @fchollet!

Try it with any #Github PR: https://t.co/ca52yLjTQF

It uses @Crossing_Minds #RAGSys in-context learning with @AnthropicAI's #Claude #LLM. Learn more here: https://t.co/FGLJw54oHq #ClaudeFrancois

[Crossing Minds @Crossing_Minds]

Don't miss out on our new post about the importance of DPO within the Gen AI and LLM world!

[Alexandre Robicquet @AlexandreRbcqt]

A few thoughts on the growing Place of #DPO in Gen AI https://t.co/RlGceHoRJO

[Ching-Wei Chen @cweichen]

. @NCDOT @NCDOT_Asheville @buncombeGov @CityofAsheville Many people are unable to access resources because they need to conserve gas for emergencies. How about offering free @Uber for them like @FLSERT? https://t.co/6ilWyekGHD cc @WLOS_13 @BlueRidgePublic
#Helene #Asheville

[FL Division of Emergency Management @FLSERT]

We have partnered w/ @Uber to provide Floridians free rides to shelters in counties under a state of emergency for #Helene. Get a ride:

📲 Open the Uber app
👤 Tap Account on the bottom right & tap Wallet
✅ Add promo code HELENERELIEF

Up to $35 each way, to & from a state-approved shelter: https://t.co/9SGj4O2jTU.

[rands @rands]

It’s National Voter Registration Day in the U.S.

Please take a moment to confirm your registration at: https://t.co/qoCEI0mWka

[Ching-Wei Chen @cweichen]

I don't get it, how is "baiting him into angry rants" a good thing? She just set him up to deliver his campaign messaging. These same "angry rants" are exactly what has him tied in the polls. Not enough convincing rebuttals. I don't see how this was a win at all.

[Ching-Wei Chen @cweichen]

"I have *concepts* of a plan"

I'm using that one 😂

[Ching-Wei Chen @cweichen]

I'm glad we're feeling good here, but how can you allow someone to vilify immigrants that way and get away with it? It's not enough to fact-check or smirk. Expose the hatred behind his lies. Unite us in our humanity. Don't laugh.

[Replicate @replicate]

Meta Llama 3 is out now and available on Replicate.

This language model family comes in 8B and 70B parameter sizes, with context windows of 8K tokens.

The models beat most other open source models on industry benchmarks and are licensed for commercial use.

Try them here 👇

[Ching-Wei Chen @cweichen]

@pcalcado True. I can't wait for this to come to the US, I'd like to see what the latency is like (and the quality, of course).

[Ching-Wei Chen @cweichen]

@pcalcado Also, this gives me serious Beats Music "The Sentence" vibes

[Ching-Wei Chen @cweichen]

@pcalcado I'm excited for this (and happy for the team), but my money is on most users using it to create the same old "workout playlist" or "study music". Text interfaces are tough.