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10 data collection techniques for NLP & LLM training

NLP and LLM teams often grow their training corpuses to improve model performance but they still do not always obtain ...
Tech Times

Open-Source Coding Model Ornith-1.0 Writes Its Own Training Scaffold in Reinforcement Learning

Open-source agentic coding model Ornith-1.0, released today under the MIT license, uses a self-improving reinforcement ...
VentureBeat

Monitoring LLM behavior: Drift, retries, and refusal patterns

Traditional software is predictable: Input A plus function B always equals output C. This determinism allows engineers to develop robust tests. On the other hand, generative AI is stochastic and ...
InfoWorld

Databricks adds MemAlign to MLflow to cut cost and latency of LLM evaluation

Databricks’ Mosaic AI Research team has added a new framework, MemAlign, to MLflow, its managed machine learning and generative AI lifecycle development service. MemAlign is designed to help ...
InfoQ

Google Releases LMEval, an Open-Source Cross-Provider LLM Evaluation Tool

For cross-provider support, it is critical that evaluation benchmarks can be defined once and reused across multiple models, despite differences in their APIs. To this end, LMEval uses LiteLLM, a ...
VentureBeat

MeMo's memory model lets teams upgrade their LLM without retraining it — and performance jumps 26%

Enabling LLMs to acquire new knowledge after training remains a major hurdle for enterprise AI — current solutions are either too expensive, too slow, or constrained by context window limits. MeMo, a ...
Yahoo Finance

Hippocratic AI Launches LLM Model Training Residency for Top Engineers Interested in Career-Shaping Work

MENLO PARK, Calif., Jun 12, 2026 /PRNewswire/ -- Hippocratic AI, the generative AI company building the only model clinically safe and fast enough for patient-facing voice AI in clinical settings as ...