Deepchecks

Discover how Post-Training Quantization (#PTQ) and Quantization-Aware Training (#QAT) help balance performance and efficiency in Large Language Models. Perfect for resource-constrained environments! #AI #MachineLearning #LLM #Quantization #DeepLearning #TechInsights

The upcoming Deepchecks event is "??????????-???? ????????????????: ???????????????? & ???????????????????? ?????? ??????????????????".??? In this session,?Philip Tannor,?CEO & Co-Founder?at Deepchecks, and Noam Bressler, VP R&D at Deepchecks, lead a hands-on workshop about building and evaluating the RAG pipelines. ?? We’ll cover how to design experiments that provide meaningful insights into retrieval accuracy, relevance scoring, generative quality, and overall effectiveness of the LLM app. ? ??????????? & ????????:?November 27th, 2024 | 08:00 AM PST ?? ???????????????? ????????: https://lnkd.in/dU8cqZ7Y We will cover the methodologies and best practices for assessing RAG systems at every stage—from initial experiments to production evaluation using Deepchecks. ?? #LLMOps #LLMs #AI #ML #MLOps #GenAI #Deepchecks #Evals

?? We’re Hiring! ?? We're excited to be expanding our Software Engineering team! If you're passionate about AI, want to help a vast range of clients at the forefront of the field, and are ready to build and lead as part of an epic start-up, we want to hear from you! Join us at Deepchecks and help lead our engineers in shaping the future of LLM evaluation… Could you be the perfect fit? ?? Apply now: https://lnkd.in/dtmn_bNP ? Check out other open positions: https://lnkd.in/dJ6SBV8m

Our latest blog post dives deep into the complexities of QA with #RAG, covering possible pitfalls and strategies for efficient evaluation. From model biases to effective evaluation techniques, we explore ways to maximize the reliability and accuracy of your QA models. ?? Whether you're working with large language models or exploring RAG for the first time, this article offers valuable insights to ensure your QA system performs at its best. #Deepchecks #MachineLearning #QualityAssurance #AI #RAG #DataScience #ML

Deepchecks' latest blog post! Dive into the world of #RAG metrics and discover how these advanced tools can elevate your model’s performance. Whether you're an AI practitioner or a data enthusiast, understanding these key metrics is essential for boosting predictive power and ensuring robust outcomes. #MachineLearning #PerformanceMetrics #Deepchecks

?? The Deepchecks team is having an incredible time at the GenAI Summit in Santa Clara! We hosted an amazing hands-on workshop about evaluating LLMs and making AI apps production-ready. ?? A huge thanks to everyone who joined us in the workshop and visited our booth! We’ll be having another workshop tomorrow at summit; feel free to join if you are around.?? #GenAISummit #LLMOps #MLOps

We're #hiring a new Software Engineering Team Lead! Apply today or share this post with your network.

?? Curious about building powerful Retrieval-Augmented Generation (#RAG) applications? Check out our latest blog post, where we break down the essentials of developing a RAG app with LangChain! ?? From understanding the core components to practical steps and key insights, this guide will help you unlock the potential of combining retrieval and generation for more accurate and relevant responses. #AI #MachineLearning #RAG #LangChain #Deepchecks #TechInnovation

?? Exploring the Synergy Between Reinforcement Learning and Large Language Models (LLMs) In our latest blog post, we explore how RL can enhance the capabilities of LLMs, opening up new opportunities for more adaptive, efficient, and powerful AI systems. ?? Whether you're working on improving decision-making processes or advancing AI models, this deep dive offers valuable insights into how these two approaches can complement each other. #AI #MachineLearning #ReinforcementLearning #LLMs #DeepLearning #DataScience #Deepchecks