Feedly’s Post

What does it take to build an LLM-powered natural language agent for external users? ✨ Last week at #MachineLearningWeekEurope, I took the stage to share how we helped develop AI Actions, Feedly’s innovative LLM designed to accelerate analysis for Threat Intelligence and Market Intelligence teams. AI Actions enables users to ask specific questions within their Feedly articles and AI Feeds to deliver precise, contextual answers with citations in seconds—empowering teams to make informed decisions faster than ever. Swipe to discover the five key takeaways from my session and learn how precision, trust, and innovation shaped this game-changing feature! #MachineLearning #AI #NaturalLanguageAgent #Feedly

Learn how government agencies are bridging the communication gap! #GoogleCloudNext explored how language AI tools empower entities like the City of Dearborn and Covered California to deliver personalized services and build trust with their communities. This paves the way for a more citizen-centric future! Tomorrow, we explore how language AI empowers government agencies to deliver personalized services and strengthen community trust. #googleforgov #AI

Learn how government agencies are bridging the communication gap! #GoogleCloudNext explored how language AI tools empower entities like the City of Dearborn and Covered California to deliver personalized services and build trust with their communities. This paves the way for a more citizen-centric future! Tomorrow, we explore how language AI empowers government agencies to deliver personalized services and strengthen community trust. #googleforgov #AI

Learn how government agencies are bridging the communication gap! #GoogleCloudNext explored how language AI tools empower entities like the City of Dearborn and Covered California to deliver personalized services and build trust with their communities. This paves the way for a more citizen-centric future! Tomorrow, we explore how language AI empowers government agencies to deliver personalized services and strengthen community trust. #googleforgov #AI

Learn how government agencies are bridging the communication gap! #GoogleCloudNext explored how language AI tools empower entities like the City of Dearborn and Covered California to deliver personalized services and build trust with their communities. This paves the way for a more citizen-centric future! Tomorrow, we explore how language AI empowers government agencies to deliver personalized services and strengthen community trust. #googleforgov #AI

Learn how government agencies are bridging the communication gap! #GoogleCloudNext explored how language AI tools empower entities like the City of Dearborn and Covered California to deliver personalized services and build trust with their communities. This paves the way for a more citizen-centric future! Tomorrow, we explore how language AI empowers government agencies to deliver personalized services and strengthen community trust. #googleforgov #AI

Learn how government agencies are bridging the communication gap! #GoogleCloudNext explored how language AI tools empower entities like the City of Dearborn and Covered California to deliver personalized services and build trust with their communities. This paves the way for a more citizen-centric future! Tomorrow, we explore how language AI empowers government agencies to deliver personalized services and strengthen community trust. #googleforgov #AI

Learn how government agencies are bridging the communication gap! #GoogleCloudNext explored how language AI tools empower entities like the City of Dearborn and Covered California to deliver personalized services and build trust with their communities. This paves the way for a more citizen-centric future! Tomorrow, we explore how language AI empowers government agencies to deliver personalized services and strengthen community trust. #googleforgov #AI

From Text to Context: How Context Makes LLMs Truly Smarter Content is king while context is the Emperor. For language models, understanding and utilizing context effectively can make the difference between generic responses and nuanced, insightful interactions. Context enrichment techniques empower these models to grasp subtleties in language, adapt to diverse scenarios, and deliver more accurate and contextually aware outputs. Here is an attempt at visualizing the Large Language Models' context enrichment landscape (vis-a-vis cost, complexity, effort) - exploring how these advancements are shaping the future of AI-driven communication. #Context #LLM #AI #GenAI #MachineLearning #DeepLearning

Retrieval-augmented fine-tuning offers a powerful approach to building effective Large Language Models. But with options like Document-level Semantic Matching and Retrieval-Augmented Generation available, how do you choose the right technique to maximize model effectiveness? 🤔 👉 Join the conversation: https://hubs.la/Q02wg4sL0 Our upcoming live talk, featuring Tianjun Zhang, provides clarity on confidently selecting between DSF and RAG. Gain a deep understanding of the strengths and weaknesses of each approach, and discover how to tailor your RAFT implementation for optimal performance in your specific use case. #GenerativeAI #AIApplications #DomainSpecificFinetuning #RAGmethodology #ArtificialIntelligence #llama2 #ai #llm