Cohere’s Post

Cohere’s strategy with Command-R is pretty clear - to dominate the RAG model space by offering the best RAG model solutions that are not only scalable and accurate but also tailored for the enterprise. Cohere’s latest feature: Fine-tuning for Command R Cohere’s latest promise: “Command R fine-tuning offers superior performance on enterprise use cases and costs up to 15x less than the largest models on the market.” This new feature will allow organizations to conduct supervised fine-tuning on Command R to further enhance performance, but reportedly at a small fraction of the cost compared to larger models on the market. Customers can adjust up to five hyperparameters: 1️⃣ train_epochs: The maximum number of epochs the customization job runs for. 2️⃣ learning_rate (float) The learning rate to be used during training. 3️⃣ train_batch_size (int) The batch size is the number of training examples included in a single training pass. 4️⃣ early_stopping_threshold (float) How much the loss must improve to prevent early stopping. 5️⃣ early_stopping_patience (int) Stops training if the loss metric does not improve beyond the value of early_stopping_threshold after this many rounds of evaluation. 💲Training Costs: $8/1M Tokens Access: You can access fine-tuning for Command R on the Cohere platform and Amazon SageMaker, and it will be coming to additional platforms in the near future. Anyone using Command R? Let me know in the comments! #Cohere #LegalTech #RAG #AI #CodeandCounsel #CommandR

#75hard #75hardchallenge #Day31 Revised about EKS Cluster Observability today :

This was a quiet feature update that’s actually really BIG. In the before times there was no way to track if a message was successfully delivered. Once it sent, that was it. But now… *Montgomery C. Burns voice* “Excellent” #aws #awscloud #awscommunity #awsservices

🎙️ Dive into the transformative world of digital innovation as Maria and Ralf unpack the secrets of how companies can navigate complex regulatory landscapes and about the power of AI in driving efficiency and innovation. Don't miss out on these game-changing insights! 🚀 Ready to transform your business? Discover the LD7 Powersuite – your ultimate toolkit for digital transformation.

Qarik Group focuses on providing excellent service, technical ability, cloud application transformation, and digital transformation to companies to enable them to deliver more value to their customers. Rob Schmit, Partner at Qarik Group, gives us his predictions for 2024. While this year has seen a lot of people consuming OpenAI, the coming year will see companies start to branch out and think about the types of LLMs they are using, where they are using them, and how they are running them. People may start to try smaller models like Falcon or Llama and organizations will need to look at how teams are using these LLMs to get the value out of them.

in case resources are reserved by mistake. Neat !

OSMC 2023 | Journey to Observability: Tracking every Function Execution in Production https://lnkd.in/ehhUQGyH

Our most recent episode of the Cost News Digest is now available!! We discuss a bunch of new announcements and did a short summary of top re:invent talks we reccomend https://lnkd.in/eppmWDVv #aws #awsreinvent2023 #reinvent2023 #finops #cfm

Quick and enlightening read https://lnkd.in/gRMxYTHh

Full CNDI walkthrough! In this demo, our CTO Matt Johnston takes us through a complete deployment process for running Airflow on AWS using CNDI. The process is similar for all other Templates and we will have more walkthroughs coming out in the future! We hope you enjoy the demo! Check it out here ➡️ https://lnkd.in/gFKTAjRN #opensource #cloudnative #datamanagement