udlbook https://
bit.ly/3Qyx17a
#AI #MachineLearning #DeepLearning #LLMs #DataScience Download draft PDF Chapters 1-21 here
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UDL Book Draft PDF Chapters 1-21 Available for Download
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Novel Clustering Algorithm Combining Embeddings and Cross-Attention
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Introducing a novel clustering algorithm that effectively combines the scalability benefits of embedding models with the quality of cross-attention models to improve the efficiency and quality of clustering operations. Check it out. → https://t.co/JyAncndixB pic.twitter.com/LX394PecMO
— Google AI (@GoogleAI) 3 novembre 2023Introducing a novel clustering algorithm that effectively combines the scalability benefits of embedding models with the quality of cross-attention models to improve the efficiency and quality of clustering operations. Check it out. → https://
goo.gle/49j4ABn -
LLMs revolutionize language processing beyond chatbots applications
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LLMs, like GPT-4 and ChatGPT, have revolutionized language processing. These models excel beyond chatbots and recommendation systems, offering value in complex tasks like search, data clustering, and classification, simplifying information processing.
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Data Pruning Strategies for Large Language Model Pretraining
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When Less is More: Investigating Data Pruning for Pretraining LLMs at Scale https://
cohere.com/research/paper
s/when-less-is-more-investigating-data-pruning-for-pretraining-llms-at-scale-2023-09-08
… @maxdoesresearch @ahmetustun89 @luizapzbn @W4ngatang @mziizm @sarahookr -
RAG Reranking: Enhancing Retrieval with Pinecone Cohere
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RAG with reranking – leveraging @pinecone and @cohere Reranking is a retrieval technique that performs an additional step on top of retrieved results This step uses a separate model to rerank the results, making sure the most relevant ones surface to the top @jamescalam
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POTUS AI Policy: Data Access, Bias, and Energy-Efficient Computing
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IMO it’s great to see @potus take a proactive stance on good foundations for advanced AI. We also need action on data access, bias, incentives for AI that consumes less energy (lower carbon footprint) with lower computational resources to scale around the edge (devices). This
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Multimodal AI, Synthetic Data, and Enterprise AI Readiness Trends
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I could talk for hours about the future of AI, but right now, I’m really looking at multimodal AI, synthetic data, companion AI, GPU shortage mitigation, hyperpersonalization, and AI enterprise readiness trends (from training to LLM ops to quick deploy templates).
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Data Science Career Challenges and Financial Struggles in Tech
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yes this is very fair, my brain hurts every day when I leave work yet I’d be making six figures as a humble data plumber I was lucky to save for a couple years before grad school buts still tough, especially in nyc
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Databricks Solution Accelerators: Industry-Specific AI Tools Free
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Introducing industry-specific Solution Accelerators available for free on Databricks Marketplace! Fast-track your projects with pre-built notebooks and sample data for orgs across industries like healthcare, retail, cybersecurity, and more https://
bit.ly/48YGtrA -
AI and Data Science: Exploring Their Collaborative Relationship
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#AI vs #DataScience – how they work together via @ingliguori #ML #analytics @kenovy_it #kenovy https://
bit.ly/3Qr8u2w