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Llama Guard
Llama Guard is a family of open-weight safety classifiers from Meta, fine-tuned from Llama models to label AI prompts and responses as safe or unsafe.
Llama weights leak incident
The Llama weights leak incident was the March 2023 unauthorized spread of Meta's LLaMA model weights, leaked to 4chan one week after a gated release to researchers.
LLaMA-Factory
LLaMA-Factory is an open-source framework for the efficient fine-tuning of large language models and vision-language models, created at Beihang University and presented at ACL 2024. It unifies LoRA-style methods, preference alignment, and a no-code web UI.
Llama.cpp
Llama.cpp is an open-source C/C++ project, built on the ggml library, for running large language model inference locally on hardware from MacBooks to GPUs, using GGUF quantization.
llamafile
llamafile is a Mozilla project, begun in September 2023 with engineer Justine Tunney, that packs an open language model's weights and runtime into one executable running on most operating systems without installation.
LlamaIndex
LlamaIndex, also known as GPT Index, is an open-source Python framework for connecting large language models to external data, built around retrieval-augmented generation and launched in late 2022.
Llanos Orientales Oil Pipeline
The Llanos Orientales Oil Pipeline (Oleoducto de los Llanos Orientales) is a crude oil pipeline in eastern Colombia, opened in 2009 to carry heavy crude to the Caribbean port of Coveñas.
LLaVA
LLaVA (Large Language and Vision Assistant) is an open-source family of vision-language models, first released in April 2023, that connects a CLIP vision encoder to a language model.
Llion Jones
Llion Jones is a Welsh computer scientist, co-author of the 2017 Transformer paper "Attention Is All You Need" and co-founder and CTO of Tokyo AI startup Sakana AI.
LLM guardrails and safety classifiers
LLM guardrails and safety classifiers are external models or rule systems that screen prompts sent to a large language model and its completions, blocking content that violates a safety policy.
LLM inference cost engineering
LLM inference cost engineering is the practice of lowering the per-token cost and latency of serving large language models through batching, caching, quantization, and model routing.
LLM watermarking
LLM watermarking is a technique in which a large language model embeds a hidden statistical signal into generated text, detectable algorithmically while invisible to human readers.
LLM-as-a-Judge
LLM-as-a-Judge, or LLM-based evaluation, is an evaluation method where a large language model assesses another model's answers, proposed as a scalable substitute for human evaluation.
LLM-assisted data wrangling
LLM-assisted data wrangling uses large language models to clean, impute, match, and transform tabular data via prompting, replacing task-specific pipelines; key issues are hallucination, prompt brittleness, cost, and required validation.
LLM-jp corpus
The LLM-jp corpus is a versioned series of open pre-training datasets for Japanese large language models, built by the National Institute of Informatics, growing from 270 billion tokens in 2024 to 19.5 trillion by 2025.
LLM.int8()
LLM.int8() is an 8-bit inference method for large language models, introduced by Tim Dettmers and colleagues in August 2022, that quantizes most matrix multiplications to 8-bit while keeping outlier features in 16-bit.
LLM2Vec
LLM2Vec is an unsupervised method, introduced in April 2024, that transforms any decoder-only large language model into a text encoder through bidirectional attention, masked prediction, and contrastive learning.
LLMLingua
LLMLingua is a prompt compression method from Microsoft Research that removes unimportant tokens from prompts before inference, compressing them up to 20x with little performance loss.
Lloyd A. Duscha
Lloyd A. Duscha was an American civil engineer and dam safety authority who retired in 1990 as the U.S. Army Corps of Engineers' highest-ranking civilian.
Lloyd E. Elkins Sr.
Lloyd E. Elkins Sr. (1912–2004) was an American petroleum engineer who led the research group that invented hydraulic fracturing and was elected to the National Academy of Engineering in 1976.
Lloyd Espenschied
Lloyd Espenschied (1889–1986) was an American electrical engineer at AT&T and Bell Labs who co-invented the coaxial cable, receiving the 1931 patent with Herman A. Affel.
Lloyd M. Robeson
Lloyd M. Robeson is an American industrial polymer and membrane scientist, retired from Air Products, best known for defining the permeability-selectivity upper bound in gas-separation membranes.
Lloyd R. Welch
Lloyd R. Welch (1927–2023) was an American information theorist and electrical engineer who co-invented the Baum–Welch and Berlekamp–Welch algorithms and received the 2003 Shannon Award as a longtime USC professor.
Lloyd Tabb
Lloyd Tabb, American software developer, founder and CTO of Looker (Santa Cruz data analytics, sold to Google for $2.6B), designer of LookML, earlier Borland and Netscape engineer, now co-creator of the Malloy data language at Meta.
Lloyd Wright
Lloyd Wright, born Frank Lloyd Wright Jr. (1890–1978), was an American architect and landscape architect in Southern California, known for Wayfarers Chapel and two early Hollywood Bowl shells.
Lloyd's algorithm
Lloyd's algorithm is an iterative method for k-means clustering, popularly called the k-means algorithm, that repeatedly assigns points to their nearest center and moves each center to its cluster's mean.
Lloyd's List
Lloyd's List is a British shipping newspaper founded in 1734 at Lloyd's Coffee House in London, one of the world's oldest continuously published periodicals, digital-only since 2013.
Lloydminster upgrader
The Lloydminster upgrader, commissioned in 1992 as the Bi-Provincial Upgrader, is a heavy oil facility in Saskatchewan, owned by Cenovus Energy, that converts heavy crude into synthetic crude oil and diesel.
LLVM
LLVM, originally an abbreviation of Low Level Virtual Machine, is a compiler infrastructure centered on its intermediate representation, described by Chris Lattner and Vikram Adve in 2003.
LLVM IR
LLVM IR is the typed, SSA-based intermediate representation of the LLVM compiler infrastructure, serving as the common code form across all compilation phases, from frontends through optimization to code generation.