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Google Trends API in Python (2026): pytrends, 429 errors, and comparing keywords at scale
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Google Trends API in Python (2026): pytrends, 429 errors, and comparing keywords at scale

DEV Community: python·carlos-calatayud·2 days ago
#0B7dFiWo
#devtopython#devto#dev#anchor#batch

Google Trends is still one of the few free signals for "what are people searching for, relatively"....

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Reducing High-Bandwidth Memory Bottlenecks in JAX-Based LLM Training with Host Offloading
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Reducing High-Bandwidth Memory Bottlenecks in JAX-Based LLM Training with Host Offloading

NVIDIA Technical Blog·Tanya Lenz·2 days ago
#Z1E9hhMs
#developer#offloading#host#memory#batch

Large language model (LLM) training workloads increasingly run into GPU memory limits before compute is fully used. Model weights, gradients, optimizer states…

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Claude Batch API Returned Results Out of Order: 59% of My Labels Wrong
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Claude Batch API Returned Results Out of Order: 59% of My Labels Wrong

DEV Community: python·jidonglab·3 days ago
#Yurci9xY
#devtopython#devto#dev#results#batch

Claude Batch API results come back out of order. I zipped them by index and mislabeled 2,940 of 5,000 tickets. Here's the autopsy and fix.

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Why Speculative Decoding Slows Hybrid Mamba Models at Large Batch Sizes
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Why Speculative Decoding Slows Hybrid Mamba Models at Large Batch Sizes

DEV Community: ai·Mayur Agnani·5 days ago
#Aakqp35q
#devtoai#devto#dev#state#batch

An attention layer undoes a rejected draft token by moving a pointer. A Mamba layer overwrites one fixed state every token, so the server saves a full copy per draft. At large batch sizes those copies erase the speed-up. Logging each token's small in

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Accelerating Mamba-2 with High-Performance Forward Pass Kernels in NVIDIA CUDA Tile
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Accelerating Mamba-2 with High-Performance Forward Pass Kernels in NVIDIA CUDA Tile

NVIDIA Technical Blog·Tanya Lenz·5 days ago
#DCSSwHhi
#developer#chunk_size#state#shape#batch

NVIDIA CUDA Tile (cuTile) is a Python-based DSL and parallel programming model for NVIDIA GPUs that automatically leverages advanced hardware capabilities to…

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CostPerPrompt — Live AI API Pricing & LLM Cost Calculators

CostPerPrompt·3 months ago
#8A0mPoAJ
#cost#model#every#batch#models

Live pricing for 321+ AI models (GPT, Claude, Gemini, Llama, DeepSeek) plus real-world cost calculators: chatbots, API budgets, and token math. Updated 2026-10-25.

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The Secret AI Workflow Nobody Uses for Log Analysis (But Should)
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The Secret AI Workflow Nobody Uses for Log Analysis (But Should)

DEV Community: tutorial·Hopkins Jesse·5 months ago
#XeWnk85s
#dev#batch#real#logs#article

I spent last weekend rewriting my entire log monitoring pipeline. Not because something broke....

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Deepfake Investigators Have 48 Hours. Most Firms Can't Make It.
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Deepfake Investigators Have 48 Hours. Most Firms Can't Make It.

DEV Community: computervision·CaraComp·5 months ago
#2AJgFxPJ
#dev#comparison#analysis#batch#technical

Analyzing the technical shift in deepfake verification timelines The FTC’s enforcement of the TAKE...

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Partition and Sort Keys on DynamoDB: Modeling data for batch-and-stream convergence
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Partition and Sort Keys on DynamoDB: Modeling data for batch-and-stream convergence

DEV Community: dynamodb·Ana Silva·5 months ago
#YMhOOFxU
#dev#active#date#batch#table

How to design partition keys, sort keys and a serving layer when your data has two sources...

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In Haryana’s first, 7 women IAS officers simultaneously lead districts
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In Haryana’s first, 7 women IAS officers simultaneously lead districts

The Indian Express·Sukhbir Siwach·5 months ago
#ggGoqqEF
#indianexpress#women#haryana#batch#officers

At the senior level, however, men continue to dominate key posts in the Haryana bureaucracy, though officials acknowledge a gradual shift in recent years.

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I instrumented 95 DataLoaders in a production GraphQL API — here's what I found
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I instrumented 95 DataLoaders in a production GraphQL API — here's what I found

DEV Community: graphql·Currently Buffering·5 months ago
#XPaRZAeL
#dev#dataloader#batch#loaders#article

How dataloader-ai gives per-loader observability to GraphQL servers, and what I learned applying it to Open Collective's 96-DataLoader API

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Dispatches from O'Reilly: The accidental orchestrator
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Dispatches from O'Reilly: The accidental orchestrator

stackoverflow.blog·Andrew Stellman·5 months ago
#B1NjRDmM
#code#engineering#batch#agentic#tools

Experiments in agentic engineering and AI-driven development.​​​​‌ ‍ ​‍​‍‌‍ ‌ ​‍‌‍‍‌‌‍‌ ‌‍‍‌‌‍ ‍​‍​‍​ ‍‍​‍​‍‌ ​ ‌‍​‌‌‍ ‍‌‍‍‌‌ ‌​‌ ‍‌​‍ ‍‌‍‍‌‌‍ ​‍​‍​‍ ​​‍​‍‌‍‍​‌ ​‍‌‍‌‌‌‍‌‍​‍​‍​ ‍‍​‍​‍‌‍‍​‌ ‌​‌ ‌​‌ ​​‌ ​ ​ ‍‍​‍ ​‍ ‌‍​ ‌‍ ‌‌ ​ ​‍ ‍‌ ​ ‌ ‌​‌‍​‌‌‍​ ‌‍‍ ‌‍ ‌…

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