Agata Mlynarczyk @Ag_Mlynarczyk
Project Manager at Weights & Biases France Joined September 2022-
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Automatic function versioning for iterating on LLM apps 🧪 You often make ad-hoc prompt or model changes while building with LLMs. With weave, each function's code is captured and versioned when it is called, along with the inputs & outputs docs: wandb.me/weave
PyTorch stepping into the LLM-fine-tuning arena feels huge, looking forward to seeing torchtune evolve in the coming months Tutorials and docs are really nicely built with a blend of education (eg LoRA explainer) as well as how-tos wandb integration the cherry on top 👇
PyTorch stepping into the LLM-fine-tuning arena feels huge, looking forward to seeing torchtune evolve in the coming months Tutorials and docs are really nicely built with a blend of education (eg LoRA explainer) as well as how-tos wandb integration the cherry on top 👇 https://t.co/mGmuRbnDjb
Come learn from @karibriski, Vice President of Generative AI Software Product Management, @nvidia & other builders of the Generative AI industry at Fully Connected on April 18th in San Francisco. 👉 Register Now: wandb.me/fcsf_speaker
I'm very excited to announce Weave, our new tools to track and evaluate your LLM apps. Use Weave to: 🍩log and version LLM interactions and surrounding data, from development to production 🍩experiment with prompting techniques, model changes, and parameters 🍩evaluate your…
Well what do we have here? @OpenAI doubles down on Finetuning, introducing new dashboard, tools and integrations for customizing their models. PLUS - track them in @weights_biases 🔥📈
Well what do we have here? @OpenAI doubles down on Finetuning, introducing new dashboard, tools and integrations for customizing their models. PLUS - track them in @weights_biases 🔥📈 https://t.co/kQ8e2jRplV
We're back! 👋 DublinAI quarterly is back, 10th April. 80 seat limit. Topics inc: streamlining ML workflows, onsite diagnostics in agritech and quantum servers.. obvs! RSVP: ti.to/dublinai/dubli… Thanks to sponsor @weights_biases and host @TCDTangent
⚠️ Tomorrow is the day! Mastering MLOps with @Microsoft's Phi-2. What to expect: •Explore advanced NLP with Microsoft's Phi-2 •Leverage W&B for peak model performance •Transform your CI/CD with GitOps 👉 Last chance to register: aka.ms/Phi2-WB-X
📊 Struggle to manage multiple models with various teams? Streamlined model management is essential. 📚Dive into our NEW course to master enterprise model management features (Model Registry, Automation, Launch) led by @HamelHusain & Noa Schwartz. wandb.courses/courses/enterp…
👇 Was awesome to have Jason (@jxnlco) on the show to briefly chat about the course he launched on the (FREE!) WandB academy. Instructor is a great way to get consistent structured outputs from LLMs 👇
👇 Was awesome to have Jason (@jxnlco) on the show to briefly chat about the course he launched on the (FREE!) WandB academy. Instructor is a great way to get consistent structured outputs from LLMs 👇
Let's keep learning, tweaking, and perfecting together go.mlops.community/VJ7zoK!
Hey folks! Just wrapped up an awesome chat with @ash0ts and @morgymcg from Weights and Biases on the MLOps Community Podcast, proudly brought to you by our Premium Brand Partner, @weights_biases!
LIVE incoming folks! Stay tuned on here or on our Youtube! This week I'm interviewing my teammates about the AI projects they built for our Hack/Build week and what we learned! @soumikRakshit96 @Ag_Mlynarczyk and @ayushthakur0 + @ash0ts
LIVE incoming folks! Stay tuned on here or on our Youtube! This week I'm interviewing my teammates about the AI projects they built for our Hack/Build week and what we learned! @soumikRakshit96 @Ag_Mlynarczyk and @ayushthakur0 + @ash0ts
As ML continues transforming, the need for streamlined model management has never been more critical. 📚Dive into our NEW course to master enterprise model management features (Model Registry, Automation, Launch) led by @HamelHusain & Noa Schwartz. wandb.courses/courses/enterp…
New free course 📚 Enterprise Model Mgmt with @weights_biases. I teach: - what webhooks are & how to use them to create integrations b/w W&B and tools like @modal_labs - how to use Launch to automate train/eval runs. - design patterns & recipes Link: wandb.me/emm-course
This promo video the highlight of my career. lol We cover the basics of structured prompting with Pydantic and LLMS - Data Extraction - Query Extraction for RAG - Minimize Hallucinations w/ Validations - Observability with Wandb Check out the video! links are all below
LIVE: Join our Growth ML team in this insightful recap of building LLM based projects for internal use-cases x.com/i/broadcasts/1…
🚀 (1/4) Embarking on distributed training with multiple GPUs or even multiple nodes? W&B seamlessly integrates with PyTorch DistributedDataParallel, providing powerful tracking & visualization tools for your distributed experiments!
If you think there are some others that could benefit from this kind of content, give us a retweet x.com/jxnlco/status/…
If you think there are some others that could benefit from this kind of content, give us a retweet x.com/jxnlco/status/…
Since in this course we use @pydantic models, the content is framework agnostic! Which means these models be interoperable between frameworks like @AskMarvinAI @LangChainAI @llama_index wandb.courses/courses/steeri…
I've been a huge fan of Instructor for quite a while for getting consistent structured outputs out of LLMs... So I'm delighted to see @weights_biases course with its creator, @jxnlco finally released!
I've been a huge fan of Instructor for quite a while for getting consistent structured outputs out of LLMs... So I'm delighted to see @weights_biases course with its creator, @jxnlco finally released! https://t.co/IGPhzm8zC7
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Inspired by @AndrewYNg’s threads on agents in the past few weeks, I’m excited to share my talk from the @weights_biases conference that outlines how to build a general context-augmented research assistant 🧑🔬 Naive RAG is mostly good for simple questions in a single-shot setting.…
Automatic function versioning for iterating on LLM apps 🧪 You often make ad-hoc prompt or model changes while building with LLMs. With weave, each function's code is captured and versioned when it is called, along with the inputs & outputs docs: wandb.me/weave
@mattshumer_ Hey Matt, appreciate you bringing this to our attention. We haven't modified any of the Claude 3 models since we launched them. On claude.ai, there's currently two layers that may contribute to perceived model performance: our T&S measures (standard mechanisms…
3 hours until we hear from @joespeez who leads the GenAI team at Meta at W&B Fully Connected I wonder what he's going to talk about... 🤔
Here we go! - new 8B and 70B models - no intermediate size - also available on HF (not yet public) - requires agreement signups (same as previous models) github.com/meta-llama/lla…
LLMs session Fully Connected kicking off with @jerryjliu0 and whats beyond RAG
From together.ai we have Heejin Jeong, Principal AI Product Manager on stage now 🙌
We are thrilled to be a launch partner for Meta Llama 3. Experience Llama 3 now at up to 350 tokens per second for Llama 3 8B and up to 150 tokens per second for Llama 3 70B, running in full FP16 precision on the Together API! 🤯 together.ai/blog/together-…
TMINUS 3.5 hours! Maybe we'll get some breaking llews 👀😅
Sorry all for the late reminder, tomorrow @thursdai_pod show is at a new time, 10am pacific, tons to cover! (I'm in 🌉but the show must go on! See you tomorrow 🎙️) x.com/i/spaces/1yqxo…
Hey Everyone I'm on Thursday AI with @altryne as the Host !! x.com/i/spaces/1yqxo…
Wohoo Joe is already talking about LLAMA-3 at the @weights_biases #fullyConnected24 👏 🔥 I'll be live tweeting 👇 "Llama is like my baby"
Looks like we underestimated how amazingly popular Dr Karoly (@twominutepapers) because his session at @weights_biases is paaaacked and standing room only! And yes he sounds the same in real life, if anything, more excited! #fullyConnected24
Front row seat to @nvidia’s @ManuvirDas fireside chat with @weights_biases’ @l2k talking GenAI to cap off #FullyConnected2024!
Check out here or wherever you get your pods! open.substack.com/pub/thursdai/p… Thanks to co-hosts @ldjconfirmed @nisten @Yampeleg and recurring friends of the pod @mattshumer_ @picocreator @ryancarson and welcoming @WolframRvnwlf in his first appearance 🔥
Our LLama Special episode is out! We had more than 2,000 tune in to the live recording (nay, LLama Celebration!) Check out a full hour conversation as we dug into @AIatMeta LLama 3 release + everything else that happened during this crazy week (Bigstral Instruct, WizardLM there…
This tracks
Llama 3 400B+ is probably an 8x70B MoE, as speculated. probably 464B params.
@AIatMeta Question about fine tuning recommendations for LLama and Joe answers that he as a PM things about evaluations almost as a PRD and posts bench metrics as goals for his teams to hit
A whole crowd is gathering around Joe now outside of his talk! Joe is giving us some 🔥 hints! I asked about MoE and Joe smiled and said "just because we didn't release them" doesn't mean we don't have them, we have a great research team at @AIatMeta
@AIatMeta @ollama @EnricoShippole @theemozilla @ggerganov @simonw "LLAma guard is a moderation API that we co designed with our partners and it's available for free"
@AIatMeta @ollama @EnricoShippole @theemozilla @ggerganov "We now have the ability to evaluate for prompt injection" and code interpreter "We probably over mitigated a bit" cc @simonw
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