How to Build Technical Analysis and Backtesting Workflow with pandas-ta-classic, Strategy Signals, and Performance Metrics
entries = df.index[(df[“pos”].diff() == 1)] exits = df.index[(df[“pos”].diff() == -1)] fig, (ax1, ax2, ax3) = plt.subplots( 3, 1, figsize=(13, 10), sharex=True, gridspec_kw={“height_ratios”: [3, 1, 2]}, ) ax1.plot(df.index, df[“close”], lw=1.1, color=”black”,…
Meta and Stanford Researchers Propose Fast Byte Latent Transformer That Reduces Inference Memory Bandwidth by Over 50% Without Tokenization
A team of researchers from Meta, Stanford University, and the University of Washington have introduced three new methods that substantially accelerate generation in the Byte Latent Transformer (BLT) — a…
Sakana AI and NVIDIA Introduce TwELL with CUDA Kernels for 20.5% Inference and 21.9% Training Speedup in LLMs
Scaling large language models (LLMs) is expensive. Every token processed during inference and every gradient computed during training flows through feedforward layers that account for over two-thirds of model parameters…
A Coding Implementation to Build Agent-Native Memory Infrastructure with Memori for Persistent Multi-User and Multi-Session LLM Applications
banner(“Part 5 — Streaming”) mem.attribution(entity_id=”[email protected]”, process_id=”personal-assistant”) stream = client.chat.completions.create( model=MODEL, messages=[{“role”: “user”, “content”: “In two sentences, what do you remember about me?”}], stream=True, ) print(“[stream] “, end=””) for chunk in…
Best Vector Databases in 2026: Pricing, Scale Limits, and Architecture Tradeoffs Across Nine Leading Systems
Vector databases have graduated from experimental tooling to mission-critical infrastructure. In 2026, vector databases serve as the core retrieval layer for RAG pipelines, semantic search systems, and agentic AI workflows…
OpenClaw vs Hermes Agent: Why Nous Research’s Self-Improving Agent Now Leads OpenRouter’s Global Rankings
The open-source AI agent space has a new leader. As of May 10, 2026, Hermes Agent — built by Nous Research — has overtaken OpenClaw to hold the #1 position…
How to Build a Cost-Aware LLM Routing System with NadirClaw Using Local Prompt Classification and Gemini Model Switching
if proxy_alive(): print(“\n[10] Mixed 10-prompt workload…”) workload = [ “Capital of France?”, “Read foo.py”, “Type hint for a list of dicts”, “Lowercase: HELLO”, “One-sentence summary of REST”, “Refactor a callback…
NVIDIA AI Just Released cuda-oxide: An Experimental Rust-to-CUDA Compiler Backend that Compiles SIMT GPU Kernels Directly to PTX
Step 01 of 09 · Prerequisites What You Need Before You Start cuda-oxide has specific version requirements for each dependency. Before installing anything, verify your system meets all of these.…
A Coding Implementation to Recover Hidden Malware IOCs with FLARE-FLOSS Beyond Classic Strings Analysis
banner(“STEP 6 — IOC hunting in the deobfuscated strings”) PATTERNS = [ (“URL”, re.compile(r”https?://[^\s\”<>]+”)), (“IP”, re.compile(r”\b(?:\d{1,3}\.){3}\d{1,3}\b”)), (“PE/script”, re.compile(r”[A-Za-z0-9_]+\.(?:exe|dll|sys|ps1|bat)\b”, re.I)), (“Win32 API”, re.compile(r”\b(?:Reg(?:Open|Set|Create|Delete)Key(?:Ex)?A?|VirtualAlloc(?:Ex)?|CreateRemoteThread|WinExec|LoadLibraryA?|GetProcAddress|InternetOpenA?)\b”)), (“Registry”, re.compile(r”SOFTWARE\\\\?[A-Za-z0-9_\\\\]+”, re.I)), (“Base64-like”, re.compile(r”\b[A-Za-z0-9+/]{24,}={0,2}\b”)), ] hits =…
NVIDIA AI Releases Star Elastic: One Checkpoint that Contains 30B, 23B, and 12B Reasoning Models with Zero-Shot Slicing
Training a family of large language models (LLMs) has always come with a painful multiplier: every model variant in the family—whether 8B, 30B, or 70B—typically requires its own full training…









