Emissary

"?????? ???????? ???????? ???? ???? ???????? ???? ?????????????????" might be the most common question we get. The answer - not nearly as much as you think, if you're finetuning right! Excited to release our CLM finetuning benchmarks - with just ?? ?????? ?????????????? ??????????????, finetuned Classification Language models come within a few percentage points of the best in class performance across key benchmarking datasets for Spam Classification, Sentiment Analysis and more. Looking for more determinism over your sentiment analysis and classification workflows? Reach out today to get started!

???????????????????? ???????? ??????-?????????? ???????????????????????????? ??????????? ????’???? ?????? ?????? ??????????????. Are you frustrated by inconsistent classification results from LLMs? Wished for confidence scores you could actually act on? ????'???? ?????????????????? ???????????????????????????? ???????????????? ???????????? (??????) ???? ????????????????! Now you can enjoy the power of LLMs combined with the determinism and reliability of conventional classifiers. Here’s the difference it makes: ? LLM Output: “Here’s your classes: Class_1, Class_2” → ??♂? your classes are somewhere, maybe? ? CLM Output: { "class_1": 0.95, "class_2": 0.05 } →?Clear, actionable, and consistent. Your LLM output heads now map directly to your classes, providing consistency and confidence. ?????? ???????? ??????????????: 1. Proven Performance Powerbroker AI increased their classification performance 3x by transitioning from prompting to classification finetuning with just under 1k training samples! 2. Faster Processing Classification time is now reduced to time-to-first-token (~200ms for 1b servered models). Ready to level up your classification tasks? Here’s how to get started:? https://lnkd.in/gdBxjqrk

In a world where AI-driven code generation has crashed the barrier to app development to the floor by providing breakneck development speed with infinite flexibility, where do low-code platforms fit in? Is it the end of the road, or the beginning of a transformation? Read on for our take on the future of low-code platforms in an AI-first world, and tell us where you stand! https://lnkd.in/gfSDMhED

'???????? ???????? ???? ???????? ???? ????, ?????? ?????? ???? ???? ????.' It's about time we defined AI agents. This simple distinction might be the key to understanding why AI agents aren't just another buzzword - they're a fundamental shift from process-driven to outcome-driven systems. Curious about the real future of AI agents in business? Read on to discover why the next wave of AI might not be about replacing workflows but discovering entirely new ones, where agents might succeed (and fail), and why most of us will interact with them less frequently than the hype suggests. -> https://lnkd.in/ggfdBG2J #AdaptingIntelligence #AIAgents

Love your RAG system but not too impressed with your retrieval? It's probably time to finetune your ????????????????????. Our guide to finetuning ???????????????????? is now live, so if you're not sure where to start - start here! https://lnkd.in/gSK-5R5r Whether you’re working on document similarity, semantic search, or any other embedding-based task, this guide will enable you to leverage optimized models such as All-Mpnet-Base-V2-Embedding on Emissary!? #AI #ML #Finetuning #Embeddings #AdaptingIntelligence

Still classifying with an LLM? Wish you had confidence scores when classifying data so you can pick your own risk profile? Or just want better classification performance without trying a million prompt versions? We've just released our ???????????????????? for ???????? ????????????????????????????, a step-by-step guide that covers everything from dataset preparation to working with BERT & LLama 3 models. Optimize your ???????? ???????????????????????????? workflows with our seamless experience for model finetuning, evaluation and deployment. Explore it now! https://lnkd.in/gHcSQ-RP #AI #ML #TextClassification #Finetuning #AdaptingIntelligence

Thinking about turning unstructured data to structured json? Our comprehensive guide on ???????????????????? models for ???????? ???????????????????? is now live! Whether you're new to ???????? ???????????????????? or looking to level up your skills, our step-by-step guide has you covered. Learn how to: 1. Finetune the Llama-3.2-3B-Completion model, which excels at understanding natural language and extracting structured data from unstructured text. 2. Prepare and upload your datasets 3. Configure training parameters for optimal results 4. Monitor and evaluate your model's performance 5. Deploy your finetuned model with ease Check it out now and unlock your AI with Emissary - https://lnkd.in/gucYbXwi #AI #ML #DataExtraction #Finetuning?#AdaptingIntelligence

"???????????? & ??????????????" - ?? ???????????????????? ???????????? ???????? ???????????????? @???????????????????? On Friday, 11 Oct 2024, we had a fantastic time with an amazing group of AI leaders who joined us for an evening filled with fun, learning, and hands on application - from networking over our signature LLMonades [ask us for our secret recipe ;)] to diving deep into "When & Why to Finetune"! In fact, we actually had folks finetune models in real time (yeah it really is that easy!). Interested in finetuning your own models? Dm us to join the next Emissary finetuning social! Shoutout to Kahini Shah for sharing the amazing Obvious Ventures clubhouse with us! #AI #ML #Finetuning #LLM #SFTechWeek

?? SF Tech Week Event!! ?? Join us for models and bottles tomorrow. We have an awesome group of technical founders and operators looking to build more accurate, secure and controllable AI systems! cc: Emissary Tanmay Chopra #SFTechWeek Space is limited, RSVP link below ?

Wondering why your AI is suddenly missing the mark? You're likely grappling with ?????????? ??????????! ?????????? ?????????? represents a growing mismatch between the static function mapped by the model and the fluid, ever-changing real world it aims to represent —the widening gap between "reality" and "digitized reality." Our latest guide dives deep into Model drift and retraining. We explore what model drift is, its various types, why it occurs, and why it's crucial for AI practitioners and businesses to address it --> https://lnkd.in/gwKi67eb Learn how model drift could be a thing of the past withemissary.com! #ModelDrift #ModelRetraining #AdaptingIntelligence #AI #ML #LLM #Finetuning