biswaboop⚡ @biswaroop08
creating stuff, @premai_io github.com/biswaroop1547 anywhere Joined January 2017-
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We just integrated Prem's SDK with @LangChainAI and @llama_index. Now you can access all the current best LLMs and embedding models from @OpenAI @MistralAI @DbrxMosaicAI @AnthropicAI @AIatMeta etc and integrate them seamlessly with your existing LangChain or llama-index…
Time to test @metaai Llama 3. Two models have been released so far: - Llama3-70B-Instruct - Llama3-8B-Instruct ✅ Create an endpoint with Django Rest Framework. ❌ What port has 5 pins on the top and 4 on the bottom? ✅ I'm making pancakes for breakfast. I added a cup of…
Well well, all my devops x LLM friends out there, I heard it is a pain to manage GPU resources, installations, dependencies issues while deploying your LLMs on K8s. With Prem Operator, all of those can be done with just few commands, check this out 👇 github.com/premAI-io/prem…
Well well, all my devops x LLM friends out there, I heard it is a pain to manage GPU resources, installations, dependencies issues while deploying your LLMs on K8s. With Prem Operator, all of those can be done with just few commands, check this out 👇 github.com/premAI-io/prem…
The future of NLP is exciting, and we're diving headfirst into the world of small language models 🌎 Can they compete with their larger counterparts? And do we really need a 70B LLM for summarization? Large Language Models with parameter sizes ranging from 7 to 180B+ come with…
excited to speak at the AI in Production conference by the amazing @mlopscommunity. join me on 15th feb at 12pm pst (16th feb, 1:30am ist) as I discuss vision pipelines in prod and how we serve them @premai_io register here 👇 home.mlops.community/public/events/…
Open-Source LLMs Are Far Safer Than Closed-Source LLMs While everyone agrees that we don't have AGI yet, a reasonable number of researchers believe that future versions of LLMs may become AGIs The crux of the argument that closed-source companies use is that it is dangerous to…
NVIDIA basically compressed 30 years of its corporate memory into 13B parameters. Our greatest creations add up to 24B tokens, including chip designs, internal codebases, and engineering logs like bug reports. Let that sink in. The model "ChipNeMo" is deployed internally, like a…
📘 The State of Open Source AI (2023 Edition) github: github.com/premAI-io/stat… comprehensive guide exploring everything from model evaluations to deployment Thanks @premai_io for open sourcing
Gonna give my first ever lightning ⚡ talk on the current scenario on LLM evaluation. Do join us on Nov 7th with @LightningAI. We also have other cool talks on Distributed training, understanding attention etc.. Check out more here 👇 meetup.com/bangalore-deep…
Open-source AI is taking over the world. Here is a free, open-source book that will help you keep pace with everything that's happening: State of Open Source AI Book - 2023 Edition This is a living book. Anyone can contribute to it. Here is what you can find inside: 1/2
NVIDIA released new drivers and a AUTO1111 extension for using TensorRT with SD 1.5 and SDXL github.com/NVIDIA/Stable-… Works like a charm! Conversion on a 4090 is ~2mins and support multiple resolutions, batch sizes and loras!!
There's been so much going on in AI + open-source the past year it's hard to keep up 💨 We want to shoutout the "State of Open Source AI" book 📗 from our friends at @premai_io - covers models/dbs/mlops/toolkits and way more. Make sure to check it out! book.premai.io/state-of-open-…
A single compiled source of truth for all AI's (and related) current state information you need without wasting any time. Worked on few parts of it, do check it out!
Lots of LLM papers now pointing to "higher quality data" matters significantly more than quantity of data (always has been the case???). Phi-1.5 clearly showing that this works with a much smaller dataset. Caveat is that the data comes from an already capable model (gpt3-5,gpt-4)
Speculative execution for LLMs is an excellent inference-time optimization. It hinges on the following unintuitive observation: forwarding an LLM on a single input token takes about as much time as forwarding an LLM on K input tokens in a batch (for larger K than you might…
Speculative execution for LLMs is an excellent inference-time optimization. It hinges on the following unintuitive observation: forwarding an LLM on a single input token takes about as much time as forwarding an LLM on K input tokens in a batch (for larger K than you might…
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IT IS DONE!! I CAN GO TO SLEEP! Here's the (rough) alpha release of anime.gf, a local & open source alternative to CharacterAI ^-^
We just integrated Prem's SDK with @LangChainAI and @llama_index. Now you can access all the current best LLMs and embedding models from @OpenAI @MistralAI @DbrxMosaicAI @AnthropicAI @AIatMeta etc and integrate them seamlessly with your existing LangChain or llama-index…
accidentally spammed 10k+ folks with a test email TWICE anyways, how is your monday going?
@GokuMohandas @llama_index Ohh yes, Ray is used extensively on Model training at Prem, the journey is documented here too blog.premai.io/slm-training/
I enjoyed spending quality time with a close-knit group of friends, Idk just felt happy seeing them. - All of them adopted a dog 🥹 - A few of them dedicated an entire night to help another friend prepare for a tech talk.🥹
In 2019 I spent 25 days travelling in Europe and spent INR 103,945 (excluding flights & visa) Cities I stayed in: Munich, Berlin, Fussen, Salzburg, Vienna, Budapest, Prague, Karlovy Vary A thread for #budget travellers :) 1/7
Maybe there are little flat spots along the way, but AI in 5 years will be ridiculously capable compared to AI today.
“CPU gets hit with an interrupt and wakes up with a new thread in a completely different address space This is an isekai”
Claude has a nice trick where you prefill the start of the assistant response, and it continues from there. Anyone know if Llama 3 can do the same thing?
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𝗰𝗿𝘆𝗽𝘁𝗼𝗰𝘂𝗿𝗿𝗲𝗻𝗰𝘆 𝗶𝘀 𝘁𝗵𝗲 𝗯𝗶𝗴𝗴𝗲𝘀𝘁 𝗽𝘀𝘆𝗼𝗽 𝗶𝗻 𝗵𝘂𝗺𝗮𝗻 𝗵𝗶𝘀𝘁𝗼𝗿𝘆. and you are what 'they' refer to as the 'useful idiots'. they knew that people would eventually fear inflation and abandon fiat money, so they created an 'alternative' that would…
New models out in the Prem Platform. - @cohere Command-R Plus - @MistralAI Mixtral 8x22 Both can be compared to GPT-4 in terms of performance. Give them a Try!
Delivered my first international talk at GitOpsCon North America ✨😊 Your Boi finally did it! ✅ Thanks for everyone who helped me to get here 😊🙌🏻
Let's say you have a K8s cluster with GPU, then deploying an LLM with chat UI is only 2-3 commands (YMMV)
Well well, all my devops x LLM friends out there, I heard it is a pain to manage GPU resources, installations, dependencies issues while deploying your LLMs on K8s. With Prem Operator, all of those can be done with just few commands, check this out 👇 github.com/premAI-io/prem…
Let's say you have a K8s cluster with GPU, then deploying an LLM with chat UI is only 2-3 commands (YMMV)
I get so many DMs exactly about this! So here you go! Prem's blog covers everything you need to know to get started with and ace Lora! 🚀
🚀 Diving into the efficient universe of fine-tuning LLMs with Low-Rank Adaptation (LoRA) and its cutting-edge variants! 🌟 🔅 LoRA has transformed how we fine-tune massive language models for new tasks, slashing computational demands! 🔍 🧠 Explore LoRA+ for dynamic learning,…
Well it's super easy to say lot of things about language models and their behaviours all theoretically or based on some already done experiments. But we learn a lot more, when it is done all hands on. At Prem, we are super keen to understand about Small Language Models. This…
Don't manually copy and paste your LLM's code into separate files like a chump -- do it in one go with this simple little trick!
@elonmusk @XEng Same here. @premai_io account has been suspended for no reason.
Yes, Typeform is shit expensive, but that's because they've not upgraded at all. It's exactly the same single-scree interface that it was 10 years ago. Imagine if OpenAI and Typeform had a kid— Introducing Metaforms AI
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