retrovrv

6 ms·

31.
by retrovrv 3y ago
I am actually quite intrigued with NYTimes's Games play. I tend to play mostly their games whenever I'm on mobile. And surprisingly, their India games subscription pricing is also not very prohibitive. I'd say they are execut
32.
by retrovrv 3y ago
Not yet, but it's on the roadmap to publish. Broadly, we use clickhouse, streams, mongo, cloudflare workers as the mainstay of our monitoring infra. Some more info here: https://docs.portkey.ai/overview/introductio
33.
by retrovrv 3y ago
Langsmith would be useful in that case to see the traces for your chain. (Of course given that you are using Langchain for chaining the prompts) Makes sense on the deployment thing. I like what Vellum is doing. Helicone and Portkey also let
34.
Overcoming Challenges with LLM APIs
1 points by retrovrv 3y ago|0 comments
35.
by retrovrv 3y ago
helping build https://portkey.ai/ where we try to take care of storing all prompts, responses, erros, costs, latencies etc and make it available to debug.
36.
by retrovrv 3y ago
Langsmith is broadly for tracing the chains - are you looking for prompt deployment solutions?
37.
by retrovrv 3y ago
I’ve found it a bit tough usually to make sense of all model updates from OpenAI - which models are getting deprecated, which new ones are coming, etc. I’m a visual thinker, so I created a simple infographic that hopefully puts everything n
38.
Neat implementation of semantic cache for GPT4(portkey.ai)
1 points by retrovrv 3y ago|0 comments
39.
Implementing Semantic Cache to Reduce LLM Cost and Latency(portkey.ai)
2 points by retrovrv 3y ago|0 comments
40.
by retrovrv 5y ago
Benchmarking SOTA solutions is an interesting differentiator from Kaggle. Kaggle's community and scale is unparallelled though, which is actually what attracts very talented and competitive data scientists to its challenges. AIcrowd( h
41.
by retrovrv 5y ago
The comparison is indeed quite old and hasn't been updated. I work with AIcrowd and would love to know why you think it is poorly managed. I know we have a long way to go!