GitHub – srush/LLM-Training-Puzzles: What would you do with 1000 H100s… https://
bit.ly/4bCz4yb
#AI #MachineLearning #DeepLearning #LLMs #DataScience
DATA
-

Training Large Language Models with 1000 H100 GPUs
By
–
-
Data Quality Critical for AI Effectiveness and Accuracy
By
–
Skills and Data Quality: AI's effectiveness depends on quality data. Poor data = inaccurate AI outputs. Collaboration between firms and clients is essential for AI-ready datasets. How can we ensure data quality? A challenge for both UK and US!
-
AI Adoption: Navigating Ethics, Data, and Skills Barriers in US
By
–
AI offers huge benefits, but overcoming ethical, data, and skills barriers is crucial. Can the industry maintain trust and uphold standards while adopting AI? Let's discuss! How do you see this playing out in the US? #FutureOfWork
-
AI Adoption Barriers in Accounting: Ethics and Skills Gaps
By
–
Barriers to Adoption: 51% of surveyed accountants aren't using AI yet. Ethical concerns, data quality issues, and skills shortages are the main obstacles. Can smaller firms overcome these challenges? What do you think? The US faces similar hurdles!
-

Sarah Roberts Saves Company $1M with Alteryx Analytics Solutions
By
–
She saved a company over $1 million with Alteryx solutions! She shares her expertise as an Alteryx trainer. Who is it? Dynamic workflow builder, machine tinkerer, and new #AlteryxACE, Sarah Roberts! Get inspired by Sarah's story: https://
ow.ly/Itqx50SPw3y #AnalyticsChampion -

AI Systems Analyze Athletic Performance Through Wearable Data Integration
By
–
AI systems integrate and analyze vast amounts of data from wearables, video footage, and historical performance records. This comprehensive analysis provides a holistic view of an athlete's performance, identifying patterns and trends previously undetectable. Click on the link
-

Img-Diff: Contrastive Data Synthesis for Multimodal LLMs
By
–
Img-Diff Contrastive Data Synthesis for Multimodal Large Language Models discuss: https://
huggingface.co/papers/2408.04
594
… High-performance Multimodal Large Language Models (MLLMs) rely heavily on data quality. This study introduces a novel dataset named Img-Diff, designed to enhance -

Monitoring Land Use Changes with Google Earth Engine
By
–
InGARSS'23 Tutorial-1: Monitoring Land Use Land Cover Changes with GEE, by Ujaval Gandhi https://
bit.ly/4eQXwPj
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
Ambiguity in Compute Execution Calculation Methods
By
–
They don't specify how they calculate when the compute "runs"
-

Empowering Domain Experts: Breaking Data Bottlenecks with Advanced Tools
By
–
Access to advanced tools is becoming more widespread. So, what truly sets businesses apart? The answer might surprise you: it's about empowering your people. Unlock the potential of your domain experts and break free from the data bottleneck: https://
ow.ly/Cnmc50SSYsp