ライフサイエンスコーパス: llama

1 The resulting LLM is termed as "Sustain-LLaMA".

2 n representative LLMs, including ChatGPT and LLaMA.

3 ce into alpaca, and fleece/fiber traits into llama.

4 only antibodies, JM2 and JM4, from immunized llamas.

5 chain-only antibodies produced by camels and llamas.

6 se submandibular glands induced ovulation in llamas.

7 nizing hormone (LH) release and ovulation in llamas.

8 m heavy chain antibodies found in camels and llamas.

9 odies obtained from lymphocytes of immunized llamas.

10 ally transported inland via caravans of pack llamas.

11 ChatGPT), PaLM 2/Gemini Pro (via Bard), and Llama 2 (via HuggingChat) consistently generated health

12 , Anthropic's Claude 2 (via Poe), and Meta's Llama 2 (via HuggingChat).

13 The larger Llama 2 70B model used more than seven times the energy

14 ighest efficiency ratio (737.28 vs 13.39 for Llama 2 7B).

15 665 reports], respectively) than that of the Llama 2 models (7B: efficiency ratio of 13.39, accuracy

16 ion extraction workflow based on open-source Llama 2 models and test it on a dataset of 160 well docu

17 ameter sizes of two open-source LLMs (Meta's Llama 2, a general-purpose model, and LMSYS Org's Vicuna

18 Mistral-7B and Mixtral-8 x 7B (Mistral AI), Llama 2-13B and Llama 2-70B (Meta), and Qwen1.5-72B (Ali

19 Mixtral-8 x 7B (Mistral AI), Llama 2-13B and Llama 2-70B (Meta), and Qwen1.5-72B (Alibaba Group), as

20 he open-source model with the highest score, Llama 2-70B, achieved micro F1 scores of 0.97 and 0.97 f

21 Two open-source (Llama 2-7B [Meta], Mistral-7B [Mistral AI]) and one clos

22 open-source models, Mistral-7B outperformed Llama 2-7B in assessing completeness and was further fin

23 ract contextual embeddings from GPT-2 XL and Llama-2 and use linear models to predict neural response

24 Conversely, both GPT-4 and LLaMa-2 demonstrate a more balanced sensitivity to game

25 This suggests that LLaMa-2 is better equipped to navigate the subtleties of

26 markable 71% boost in the performance of the Llama-2 model on the challenging MCQ dataset, demonstrat

27 In contrast, LLaMa-2 reflects a more granular understanding of indivi

28 how pretrained large language models (GPT-3, Llama-2) can be fine-tuned to extract useful records of

29 sive biomedical KG (SPOKE) with LLMs such as Llama-2-13b, GPT-3.5-Turbo, and GPT-4, to generate meani

30 trained vision transformer with an LLM named Llama-2-13b-chat by collecting an extensive collection o

31 uch as Mixtral 8 x 7b instruct, GPT 3.5, and Llama-2-70b by introducing a scoring system that conside

32 and GPT-4 (OpenAI), Gemini-pro (Google), and Llama-2-70B-chat (Meta) were prompted to generate 500 st

33 capabilities of GPT-4, GPT-3.5, Mistral and LLaMA-2-7b across 12 medical specialties.

34 odel identifies relevant documents, (ii) the LLaMA-2-7B model is pretrained on selected texts to inje

35 rmances are validated against the version of LLaMA-2-7B without retraining, ChatGPT-4o, and the USLCI

36 s on three advanced LLMs-GPT-3.5, GPT-4, and LLaMa-2-and how they navigate both the intrinsic aspects

37 study, we assessed multiple LLMs, including Llama-2-chat, Vicuna, Medllama2, Bard/Gemini, Claude, Ch

38 Among offline models, Llama-2.0-13b and Llama-3.3-70b exhibited the highest re

39 An LLM (LLaMA 3 8B; Meta) was used to extract up to 10 presentin

40 Interestingly, open-source LLMs (eg, Llama 3 and LLaVA-Med) have received comparatively littl

41 valuate five LLMs (GPT-3.5, GPT-4, Claude 3, Llama 3, and Gemini 1.0) on 11 tasks, and we find robust

42 The best model was medical fine-tuned Llama 3.

43 th Mixtral 8 x 7B significantly outperformed Llama 3.1 70B in accuracy (8.8/10 vs. 7.55/10, p < 0.05)

44 es in RAG configurations: Mixtral 8 x 7B and Llama 3.1 70B.

45 nding descriptions, the baseline accuracy of Llama 3.1 8B Instruct in providing the correct diagnosis

46 the ability of a large language model (LLM) (Llama 3.1 8B Instruct) to provide accurate diagnoses fro

47 .5 Sonnet, Google Gemini 1.5 Pro, Perplexity Llama 3.1 Sonar/Default) along with human retinal specia

48 racy 0.95; P = 0.04) but better than that of Llama 3.1-405B (accuracy 0.83; P < 10(-3)).

49 accurate than those provided by ChatGPT and Llama 3.1-405B (average Likert score of 3.61, 3.22 and 3

50 s of three LLMs- DeepSeek-R1, ChatGPT-o1 and Llama 3.1-405B-in performing four different medical task

51 GPT, Google's Gemini, and Meta's open-source Llama 3.2 models) were evaluated and compared with each

52 r of the 5 chatbots (GPT-4o, Gemini 1.5 Pro, Llama 3.2-90B Vision, and Grok Beta) generated disinform

53 5 Pro, Anthropic's Claude 3.5 Sonnet, Meta's Llama 3.2-90B Vision, and xAI's Grok Beta-were evaluated

54 score of 36% (34 of 95; 95% CI: 26, 46), and Llama 3.2-90B-Vision (Meta) achieved a score of 33% (31

55 ts) or LLM-simplified versions created using Llama 3.3 70B (Meta) with mandatory radiologist review (

56 Then, several models, including Llama-3 (Meta AI), GPT-4, and BiomedBERT, were refined u

57 t were analysed using a 70 billion parameter LLaMA-3 model in a zero-shot learning approach.

58 examine two state-of-the-art LLMs, GPT-4 and LLaMA-3, on story generation and discover that LLM-gener

59 dels, such as the state-of-the-art GPT-4 and Llama-3, on two benchmarking tasks.

60 os ranging from 40 to 150 for a typical LLM (Llama-3-70B) and from 1200 to 4400 for a lightweight LLM

61 ts Using zero-shot prompting, the fine-tuned Llama-3-70B-Instruct model achieved the best performance

62 state-of-the-art LLMs (GPT-4o, GPT-3.5, and LLama-3-70B-instruct) and found an average absolute dete

63 We show that a fine-tuned language model (Llama-3-8B) can classify truthful statements and those c

64 dels, including DeepSeekR1-Distill-Llama and Llama-3-8B-UltraMedical, which obtained average exact ma

65 LoRa-finetuned Llama-3.1 8B achieved non-inferior performance to the se

66 Fine-tuned Llama-3.1 outperformed all other open-source models, inc

67 b [Meta AI], 92.2% [95% CI: 87.1, 95.8]; and Llama-3.1-405b [Meta AI]: 90.3% [95% CI: 84.6, 94.5]).

68 ge [Mistral AI], 92.6% [95% CI: 88.2, 96.0]; Llama-3.1-70b [Meta AI], 92.2% [95% CI: 87.1, 95.8]; and

69 include variants of OpenAI's GPT-4, Gemini, Llama-3.1-70B, and Mixtral 8 x 7B.

70 ng ChatGPT (GPT-3.5-Turbo), DeepSeek-V3, and Llama-3.1-70B, utilizing publicly available datasets suc

71 LLMs (OpenAI GPT-4o, Llama-3.1-8B-Instruct, Llama-3.1-70B-Instruct, Mistral-7B-Instruct-v0.3, Mistra

72 es (>=8) were superior for 3 models (GPT-4o, Llama-3.1-70B-Instruct, Mistral-Large-Instruct-2407), wi

73 and other astronomical literature, AstroSage-Llama-3.1-8B demonstrates remarkable proficiency on a wi

74 AstroSage-Llama-3.1-8B is a domain-specialized natural-language AI

75 AstroSage-Llama-3.1-8B is freely available, enabling widespread ac

76 AstroSage-Llama-3.1-8B scores 80.9% on the AstroMLab-1 benchmark,

77 lti-turn prompting to 6 LLMs (OpenAI GPT-4o, Llama-3.1-8B-Instruct, Llama-3.1-70B-Instruct, Mistral-7

78 GPT-4o, GPT-5, Deepseek-V3.1, Qwen-plus, and Llama-3.3).

79 Among offline models, Llama-2.0-13b and Llama-3.3-70b exhibited the highest reliability in both

80 h higher in the alpaca genome (36%) than the llama (5%) and could be dated close to the time of the S

81 ioNER-LLaMA using the proposed paradigm with LLaMA-7B as the foundational LLM.

82 selective antibodies through immunization of llamas, a member of the camelid family, whose members ge

83 We conducted extensive testing on BioNER-LLaMA across three widely recognized biomedical NER data

84 The results show that llamas adjusted their body temperature and daily energy

85 Llamas adjusted their energy expenditure, Tb and locomot

86 Llamas also had remarkably low energy expenditure compar

87 d globally, the origins and evolution of the llama and alpaca remain poorly understood.

88 domestication and introgression between the llama and alpaca.

89 Western blot analysis of llama and bull seminal plasma confirmed immunorecognitio

90 Camelid species (llama and camel) were selected for immunization because

91 -source models, including DeepSeekR1-Distill-Llama and Llama-3-8B-UltraMedical, which obtained averag

92 nerative pre-trained transformer (GPT) model Llama and on a program prompting the model iteratively a

93 By screening nanobodies from immunized llamas and a naive yeast display library against adhesin

94 Seminal plasma from llamas and bulls was used as representative of induced a

95 Llamas and camels were immunized with caffeine covalentl

96 Here, we isolate anti-RBD nanobodies from llamas and from mice that we engineered to produce VHHs

97 Here we report reference genomes for the llama, and for the guanaco and vicuna (their putative wi

98 age Models (LLMs) - including Dolly, Vicuna, Llama, and GPT-4 - in extracting critical clinical infor

99 Camelidae family of mammals, such as camels, llamas, and alpacas) nanobodies specific to human interl

100 amic feline incense burners, killed juvenile llamas, and sumptuary metal, shell, and lapidary ornamen

101 eanwhile, for open-ended queries, LightRAG + Llama answers the questions with the best balance of pre

102 d HIV-1 neutralization of a heavy chain-only llama antibody, named JM4.

103 ich are recombinantly derived from immunized llamas, are known to have high affinities for ricin A or

104 orously fine-tuned PubMedBERT models and PMC-LLaMA, biomedical-specific language model.

105 Cerro Azul itself did not raise llamas but obtained charqui (or dried meat) as well as o

106 -domain antibodies from camelids (camels and llamas) can circumvent both these obstacles.

107 The results revealed that BioNER-LLaMA consistently achieved higher F1-scores ranging fro

108 comotion were measured in seven non-pregnant llama dams for ten months on the Andean High Plateau (44

109 novel bispecific domain antibody in which a llama-derived IL-23p19-specific domain antibody, humanis

110 fect transistors (GFETs) functionalized with llama-derived nanobodies (Nbs) for detecting HEV ORF2 pr

111 signaling states has been facilitated using llama-derived nanobodies (Nbs), some of which bind to th

112 Here, we show that a llama-derived nanobody M4 neutralizes multiple GII.4 var

113 nanobody (h2A12), which was isolated from a llama-derived phage display library and labeled with (18

114 The application of llama-derived single chain nanobodies for passive immuno

115 Here, we describe two llama-derived single-domain antibodies (VHHs) that have

116 ribe a broadly applicable strategy, based on llama-derived single-domain antibodies (VHHs), for the d

117 s the challenge of SARS-CoV-2 coronavirus, a llama-derived single-domain nanobody C5 was developed pr

118 We assessed the efficacy of a llama-derived, heavy-chain antibody fragment called anti

119 of larger mammal bones such as bison, whale, llama, etc., the calibration curve showed a slower rate

120 oconstriction during acute hypoxaemia in the llama fetus is not mediated by stimulation of V1-vasopre

121 ictor tone in the femoral circulation in the llama fetus.

122 During saline infusion all llama fetuses responded to acute hypoxaemia with intense

123 Six llama fetuses were surgically prepared between 60 and 70

124 inclusion experiment to investigate whether Llama glama influences soils and vegetation primary succ

125 Our results suggest that Llama glama, through their latrine behavior and role as

126 f granulocytic ehrlichiosis in a horse and a llama had recently occurred.

127 Thus, despite the domestication process, llamas have not lost the ability to adjust their body te

128 , is a 13-kDa soluble protein derived from a llama heavy chain antibody that binds with high affinity

129 TEC antibodies by fusing variable domains of llama heavy chain-only antibodies (VHHs) against ETEC to

130 ive library derived from variable regions of llama heavy chain-only antibodies, as fusions with a hyp

131 s was investigated using variable domains of llama heavy-chain antibodies (VHHs) as capture molecule,

132 Through llama immunization campaigns, we have identified single

133 ted a library of phage-displayed sdAb from a llama immunized with a cocktail of botulinum neurotoxin

134 immune phage display library derived from a llama immunized with an equine vaccine that included ina

135 on of single-domain antibodies (VHHs) from a llama immunized with prefusion-stabilized coronavirus sp

136 domain antibody (VHH) library derived from a llama immunized with prefusion-stabilized F and identifi

137 nds via phage display libraries derived from llamas immunized with alpha-synuclein and tau preparatio

138 able-domain repertoire library isolated from llamas immunized with recombinant CDTa or CDTb.

139 We created a phage display library from llamas immunized with ricin toxoid and selected a number

140 Identifying the domestic species (alpaca and llama) in archaeological sites based solely on morpholog

141 Genomic signatures of domestication in the llama include male reproductive traits, while in alpaca

142 Peru (~ 4680 m.a.s.l.), we established four llama inclusion plots and four control plots that we stu

143 These Nbs were raised in llama (Lama glama) and selected from a phage display lib

144 e, we present seven nanobodies, derived from llama (Lama glama) immunization, that bind to human C4b

145 ia was identified in the blood of a diseased llama (lama glama).

146 Llamas (Lama glama) naturally produce heavy chain-only a

147 anguage and Image model + Gemma model), Meta Llama (Large Language Model Meta AI) 3.2, Anthropic Clau

148 evaluated by comparing the performance of 3 Llama LLMs (13B, 70B, and 405B; Meta) with and without S

149 family, Mistral models, and the open-source Llama models, to evaluate their performance in comprehen

150 For that purpose llamas (N = 7) were kept in a temperate habitat on pastu

151 a strategy to rapidly identify and generate llama nanobodies (VHH) from naive and synthetic humanize

152 is strategy in combination with a new set of llama nanobodies against EPS15 shows an FCHO1/2-EPS15/R

153 Here, we produced and characterized llama nanobodies raised against the purified baseplate a

154 VWF:AF was determined using a llama nanobody (AU/VWFa-11) that detects a platelet-bind

155 A llama nanobody (AU/VWFa-11) that detects the mutant A1 d

156 CC inhibitor by first isolating an immunized llama nanobody (nb.F3) that binds auxiliary HVACC Ca(V)b

157 Therefore, our aim was to determine if the llama (one of the most extensively kept livestock breeds

158 the aim of the study was to determine if the llama, one of the most extensively kept domestic livesto

159 ing diverse target proteins and derived from llama or camel can cross-react with NabFab without loss

160 e domain antibody (nanobody) isolated from a llama phage display library that confers potent neutrali

161 construction patterns through the LightRAG + Llama pipeline.

162 Using a recently developed llama platform that generates human-like immunoglobulins

163 After three years, the llama plots had significantly increased soil organic car

164 In the llama plots, we found a large, significant increase in v

165 Llamas possess a class of unconventional immunoglobulins

166 a systematic evaluation of four LLMs-GPT and LLaMA representatives-on 12 BioNLP benchmarks across six

167 k samples from cows, sheep, goats, yaks, and llama retrieved from the collected data ranged between 0

168 d, yet were less sensitive than a comparable llama sdAb despite stemming from immune selections.

169 sdAbs, we constructed a large, semisynthetic llama sdAb library.

170 Thus, llamas seem to have maintained the ability to reduce the

171 A fraction isolated from llama seminal plasma by column chromatography was identi

172 d reliability of 12 different LLMs-including LLaMA series, Claude series, OpenAI o1, and GPT-4-on cod

173 e to fetal survival during hypoxaemia in the llama since their abolition leads to cardiovascular coll

174 In parallel we selected panels of llama single domain antibodies (sdAb) from a semi-synthe

175 synthetic phage display library of humanized llama single domain antibody (NaLi-H1: Nanobody Library

176 y for Marburg virus (MARV) that was based on llama single-domain antibodies (sdAbs) selected at biosa

177 ptococcal albumin-binding domain (ABD) and a llama single-domain antibody fragment specific for mouse

178 Using a naive llama single-domain antibody library and PCR-based matur

179 ly isolated by phenotypic panning of a naive llama single-domain antibody phage display library.

180 hibitors, we created a library of non-immune llama single-domain VHH (camelid heavy-chain variable re

181 of ticks (Ixodes pacificus) collected at the llama site.

182 vy-chain-only antibody fragment (V(HH)) from llama that is capable of being utilized to analyze caffe

183 udy, a VHH phagemid library generated from a llama that was multiply immunized with recombinant trime

184 avy chain-only antibodies, JM2 and JM4, from llamas that have been immunized with a trimeric gp140 bo

185 )) chain variable domains, but in camels and llamas, the binding site frequently comprises the heavy

186 -1-specific nanobodies (Nbs) by immunizing a llama to determine if intracellular Nbs block Etf-1 func

187 Furthermore, llamas under high altitude Andean climatic conditions ex

188 We further developed BioNER-LLaMA using the proposed paradigm with LLaMA-7B as the f

189 bo obtained 59.1% and 32.2% F1 scores, while Llama-v2-70B-chat scored 72.8% and 47.7%.

190 LLMs-GPT-3.5-turbo, GPT-4, text-davinci-003, Llama-v2-70B-chat, and Bard-were compared in detecting t

191 he study validates the utility of non-immune llama VHH libraries as a source of enzyme inhibitors and

192 Phylogenomic analysis confirms that the llama was domesticated from the guanaco and the alpaca f

193 To achieve this, a llama was immunized using a recombinant SARS-CoV-2 nucle

194 ascular responses to acute hypoxaemia in the llama were investigated.

195 cattle, 25 horses, 57 sheep, 14 goats, and 1 llama were obtained and plated onto Enterococcosel agar

196 y library was generated by immunization of a llama with 4 human PCa cell lines.

197 After immunizing a llama with human PCSK9, we selected four sdAbs that bind

198 this challenge by immunizing an alpaca and a llama with the venoms of 18 different snakes, including