Tech-tag co-occurrence

Every AI role gets tagged from a 35-term controlled vocabulary spanning agent / eval / training / inference / modality clusters. Tags that frequently appear together in the same JD pull each other close; thicker edges = more co-occurrences. The clusters that emerge organically are the real sub-disciplines of applied AI engineering right now.

All sectors · 4742Enterprise · 1275AI Frontier · 868Industrial · 650Data AI · 526Consumer · 337Banking · 239Fintech · 220Robotics · 127Defense · 115Pharma · 101Media · 73Retail · 62Hospitality · 62Telecom · 27Seattle · 27Aerospace · 14Insurance · 12Healthtech · 7

Showing 4742 tagged AI roles. Layout is a Fruchterman-Reingold force simulation, run server-side to convergence.

frontier_research ↔ pretraining (75 JDs)agent_research ↔ frontier_research (46 JDs)frontier_research ↔ multimodal (63 JDs)audio_speech ↔ frontier_research (20 JDs)code_gen ↔ frontier_research (13 JDs)evals ↔ frontier_research (60 JDs)fine_tuning ↔ frontier_research (91 JDs)frontier_research ↔ model_serving (74 JDs)agent_research ↔ pretraining (8 JDs)multimodal ↔ pretraining (41 JDs)audio_speech ↔ pretraining (16 JDs)code_gen ↔ pretraining (4 JDs)evals ↔ pretraining (10 JDs)fine_tuning ↔ pretraining (76 JDs)model_serving ↔ pretraining (64 JDs)agent_research ↔ multimodal (49 JDs)agent_research ↔ audio_speech (10 JDs)agent_research ↔ code_gen (17 JDs)agent_research ↔ evals (141 JDs)agent_research ↔ fine_tuning (92 JDs)agent_research ↔ model_serving (111 JDs)audio_speech ↔ multimodal (50 JDs)code_gen ↔ multimodal (17 JDs)evals ↔ multimodal (120 JDs)fine_tuning ↔ multimodal (203 JDs)model_serving ↔ multimodal (271 JDs)audio_speech ↔ code_gen (8 JDs)audio_speech ↔ evals (28 JDs)audio_speech ↔ fine_tuning (73 JDs)audio_speech ↔ model_serving (67 JDs)code_gen ↔ evals (34 JDs)code_gen ↔ fine_tuning (24 JDs)code_gen ↔ model_serving (34 JDs)evals ↔ fine_tuning (349 JDs)evals ↔ model_serving (513 JDs)fine_tuning ↔ model_serving (680 JDs)evals ↔ guardrails (335 JDs)evals ↔ llm_observability (581 JDs)guardrails ↔ llm_observability (490 JDs)inference_infra ↔ model_serving (1409 JDs)agent_orchestration ↔ inference_infra (424 JDs)inference_infra ↔ llm_observability (381 JDs)agent_orchestration ↔ model_serving (1021 JDs)llm_observability ↔ model_serving (866 JDs)agent_orchestration ↔ llm_observability (1159 JDs)agent_orchestration ↔ evals (638 JDs)evals ↔ tool_use (210 JDs)evals ↔ rl_post_training (107 JDs)agent_orchestration ↔ guardrails (459 JDs)guardrails ↔ tool_use (163 JDs)fine_tuning ↔ guardrails (182 JDs)guardrails ↔ rl_post_training (37 JDs)llm_observability ↔ tool_use (371 JDs)fine_tuning ↔ llm_observability (422 JDs)llm_observability ↔ rl_post_training (52 JDs)agent_orchestration ↔ tool_use (643 JDs)agent_orchestration ↔ fine_tuning (458 JDs)agent_orchestration ↔ rl_post_training (57 JDs)fine_tuning ↔ tool_use (106 JDs)rl_post_training ↔ tool_use (19 JDs)fine_tuning ↔ rl_post_training (134 JDs)agent_orchestration ↔ rag (868 JDs)agent_orchestration ↔ vector_db (296 JDs)rag ↔ vector_db (384 JDs)fine_tuning ↔ rag (393 JDs)model_serving ↔ rag (608 JDs)inference_infra ↔ rag (245 JDs)llm_observability ↔ rag (669 JDs)evals ↔ rag (328 JDs)fine_tuning ↔ vector_db (215 JDs)model_serving ↔ vector_db (315 JDs)inference_infra ↔ vector_db (181 JDs)llm_observability ↔ vector_db (283 JDs)evals ↔ vector_db (114 JDs)fine_tuning ↔ inference_infra (270 JDs)evals ↔ inference_infra (199 JDs)rag ↔ tool_use (257 JDs)guardrails ↔ rag (215 JDs)tool_use ↔ vector_db (66 JDs)guardrails ↔ vector_db (125 JDs)model_serving ↔ tool_use (233 JDs)guardrails ↔ model_serving (287 JDs)inference_infra ↔ tool_use (92 JDs)guardrails ↔ inference_infra (156 JDs)frontier_research ↔ inference_infra (36 JDs)rl_post_training ↔ synthetic_data (36 JDs)evals ↔ synthetic_data (56 JDs)frontier_research ↔ synthetic_data (15 JDs)interpretability ↔ synthetic_data (5 JDs)frontier_research ↔ rl_post_training (61 JDs)interpretability ↔ rl_post_training (18 JDs)evals ↔ interpretability (23 JDs)frontier_research ↔ interpretability (17 JDs)code_gen ↔ llm_observability (47 JDs)llm_observability ↔ multimodal (118 JDs)agent_orchestration ↔ code_gen (88 JDs)agent_orchestration ↔ multimodal (176 JDs)agent_orchestration ↔ audio_speech (30 JDs)multimodal ↔ tool_use (53 JDs)audio_speech ↔ tool_use (8 JDs)code_gen ↔ tool_use (41 JDs)multimodal ↔ rag (77 JDs)audio_speech ↔ rag (16 JDs)code_gen ↔ rag (21 JDs)multimodal ↔ vector_db (32 JDs)audio_speech ↔ vector_db (7 JDs)code_gen ↔ vector_db (11 JDs)audio_speech ↔ llm_observability (21 JDs)model_serving ↔ rl_post_training (80 JDs)rl_post_training ↔ rlhf (7 JDs)reward_modeling ↔ rl_post_training (15 JDs)reward_modeling ↔ rlhf (4 JDs)fine_tuning ↔ rlhf (18 JDs)fine_tuning ↔ reward_modeling (10 JDs)agent_research ↔ guardrails (83 JDs)frontier_research ↔ guardrails (17 JDs)interpretability ↔ llm_observability (17 JDs)guardrails ↔ interpretability (20 JDs)agent_orchestration ↔ pretraining (10 JDs)pretraining ↔ rag (5 JDs)pretraining ↔ vision (18 JDs)fine_tuning ↔ vision (86 JDs)model_serving ↔ vision (128 JDs)agent_orchestration ↔ vision (47 JDs)rag ↔ vision (19 JDs)multimodal ↔ vision (130 JDs)audio_speech ↔ vision (32 JDs)inference_infra ↔ pretraining (35 JDs)inference_infra ↔ multimodal (138 JDs)inference_infra ↔ vision (72 JDs)audio_speech ↔ inference_infra (34 JDs)agent_orchestration ↔ multi_agent (28 JDs)multi_agent ↔ tool_use (5 JDs)evals ↔ multi_agent (5 JDs)llm_observability ↔ multi_agent (8 JDs)fine_tuning ↔ multi_agent (6 JDs)embodied_ai ↔ multimodal (33 JDs)embodied_ai ↔ vision (17 JDs)embodied_ai ↔ model_serving (62 JDs)embodied_ai ↔ fine_tuning (31 JDs)embodied_ai ↔ evals (24 JDs)evals ↔ vision (42 JDs)agent_orchestration ↔ agent_research (238 JDs)agent_research ↔ tool_use (56 JDs)agent_research ↔ inference_infra (33 JDs)agent_research ↔ rag (63 JDs)model_serving ↔ training_infra (16 JDs)inference_infra ↔ training_infra (14 JDs)audio_speech ↔ rl_post_training (23 JDs)rag ↔ rl_post_training (11 JDs)agent_research ↔ rl_post_training (52 JDs)embodied_ai ↔ inference_infra (37 JDs)evals ↔ recommender_systems (46 JDs)frontier_research ↔ recommender_systems (7 JDs)tool_use ↔ vision (12 JDs)frontier_research ↔ vision (21 JDs)agent_orchestration ↔ frontier_research (34 JDs)frontier_research ↔ tool_use (10 JDs)agent_research ↔ llm_observability (146 JDs)guardrails ↔ multimodal (36 JDs)multimodal ↔ rl_post_training (42 JDs)pretraining ↔ rl_post_training (17 JDs)frontier_research ↔ llm_observability (30 JDs)agent_orchestration ↔ embodied_ai (51 JDs)embodied_ai ↔ rl_robotics (41 JDs)model_serving ↔ rl_robotics (24 JDs)inference_infra ↔ rl_robotics (14 JDs)embodied_ai ↔ pretraining (4 JDs)embodied_ai ↔ frontier_research (7 JDs)embodied_ai ↔ rl_post_training (6 JDs)fine_tuning ↔ synthetic_data (61 JDs)multimodal ↔ synthetic_data (37 JDs)synthetic_data ↔ vision (20 JDs)model_serving ↔ synthetic_data (43 JDs)embodied_ai ↔ synthetic_data (23 JDs)agent_orchestration ↔ rl_robotics (22 JDs)agent_orchestration ↔ synthetic_data (38 JDs)agent_research ↔ rl_robotics (14 JDs)agent_research ↔ embodied_ai (13 JDs)agent_research ↔ synthetic_data (15 JDs)rl_robotics ↔ synthetic_data (7 JDs)recommender_systems ↔ search_ranking (176 JDs)model_serving ↔ recommender_systems (181 JDs)model_serving ↔ search_ranking (116 JDs)agent_orchestration ↔ recommender_systems (96 JDs)recommender_systems ↔ tool_use (16 JDs)inference_infra ↔ recommender_systems (80 JDs)multimodal ↔ recommender_systems (28 JDs)inference_infra ↔ quantization (39 JDs)model_serving ↔ quantization (39 JDs)fine_tuning ↔ quantization (13 JDs)rlhf ↔ synthetic_data (7 JDs)embodied_ai ↔ tool_use (7 JDs)embodied_ai ↔ llm_observability (7 JDs)embodied_ai ↔ rag (3 JDs)inference_infra ↔ rl_post_training (41 JDs)model_serving ↔ multi_agent (6 JDs)fine_tuning ↔ recommender_systems (78 JDs)recommender_systems ↔ vector_db (46 JDs)rag ↔ recommender_systems (85 JDs)inference_infra ↔ search_ranking (55 JDs)search_ranking ↔ vector_db (52 JDs)rag ↔ search_ranking (86 JDs)llm_observability ↔ recommender_systems (85 JDs)guardrails ↔ recommender_systems (18 JDs)agent_research ↔ recommender_systems (13 JDs)rl_robotics ↔ vision (7 JDs)multimodal ↔ rl_robotics (14 JDs)fine_tuning ↔ rl_robotics (17 JDs)evals ↔ rl_robotics (14 JDs)evals ↔ quantization (3 JDs)llm_observability ↔ search_ranking (63 JDs)llm_observability ↔ vision (36 JDs)rag ↔ semantic_search (6 JDs)semantic_search ↔ vector_db (4 JDs)llm_observability ↔ semantic_search (6 JDs)rl_post_training ↔ vector_db (20 JDs)vector_db ↔ vision (8 JDs)rl_post_training ↔ vision (5 JDs)code_gen ↔ rl_post_training (10 JDs)code_gen ↔ inference_infra (14 JDs)code_gen ↔ vision (4 JDs)guardrails ↔ vision (4 JDs)audio_speech ↔ guardrails (3 JDs)code_gen ↔ guardrails (10 JDs)recommender_systems ↔ vision (11 JDs)agent_research ↔ vision (9 JDs)agent_orchestration ↔ search_ranking (59 JDs)agent_orchestration ↔ interpretability (10 JDs)agent_research ↔ vector_db (21 JDs)inference_infra ↔ synthetic_data (26 JDs)synthetic_data ↔ tool_use (9 JDs)code_gen ↔ synthetic_data (3 JDs)rag ↔ synthetic_data (13 JDs)frontier_research ↔ rl_robotics (8 JDs)distillation ↔ fine_tuning (3 JDs)quantization ↔ rl_post_training (3 JDs)distillation ↔ inference_infra (6 JDs)distillation ↔ model_serving (6 JDs)pretraining ↔ quantization (4 JDs)distillation ↔ pretraining (2 JDs)distillation ↔ quantization (6 JDs)multimodal ↔ quantization (11 JDs)quantization ↔ vision (5 JDs)audio_speech ↔ quantization (3 JDs)pretraining ↔ rl_robotics (2 JDs)llm_observability ↔ synthetic_data (20 JDs)audio_speech ↔ rl_robotics (2 JDs)multimodal ↔ rlhf (11 JDs)rlhf ↔ vision (3 JDs)audio_speech ↔ rlhf (3 JDs)embodied_ai ↔ rlhf (3 JDs)agent_orchestration ↔ rlhf (10 JDs)rlhf ↔ tool_use (5 JDs)audio_speech ↔ embodied_ai (2 JDs)llm_observability ↔ pretraining (6 JDs)multi_agent ↔ rl_robotics (3 JDs)embodied_ai ↔ multi_agent (4 JDs)pretraining ↔ synthetic_data (3 JDs)interpretability ↔ tool_use (2 JDs)interpretability ↔ multimodal (6 JDs)fine_tuning ↔ interpretability (16 JDs)inference_infra ↔ interpretability (4 JDs)interpretability ↔ model_serving (10 JDs)code_gen ↔ interpretability (2 JDs)embodied_ai ↔ quantization (2 JDs)distillation ↔ multimodal (3 JDs)agent_research ↔ interpretability (13 JDs)fine_tuning ↔ search_ranking (47 JDs)llm_observability ↔ training_infra (3 JDs)evals ↔ search_ranking (44 JDs)multimodal ↔ search_ranking (18 JDs)guardrails ↔ search_ranking (15 JDs)search_ranking ↔ tool_use (13 JDs)agent_research ↔ search_ranking (10 JDs)agent_orchestration ↔ reward_modeling (4 JDs)reward_modeling ↔ tool_use (2 JDs)rl_robotics ↔ tool_use (3 JDs)llm_observability ↔ rlhf (7 JDs)llm_observability ↔ reward_modeling (5 JDs)llm_observability ↔ rl_robotics (4 JDs)frontier_research ↔ rag (10 JDs)interpretability ↔ rag (4 JDs)rag ↔ rlhf (2 JDs)rag ↔ reward_modeling (2 JDs)rag ↔ rl_robotics (2 JDs)frontier_research ↔ vector_db (30 JDs)interpretability ↔ vector_db (9 JDs)synthetic_data ↔ vector_db (4 JDs)rlhf ↔ vector_db (8 JDs)reward_modeling ↔ vector_db (2 JDs)rl_robotics ↔ vector_db (2 JDs)embodied_ai ↔ vector_db (2 JDs)model_serving ↔ rlhf (10 JDs)model_serving ↔ reward_modeling (5 JDs)interpretability ↔ recommender_systems (6 JDs)recommender_systems ↔ synthetic_data (5 JDs)recommender_systems ↔ rl_post_training (7 JDs)recommender_systems ↔ rlhf (3 JDs)recommender_systems ↔ reward_modeling (2 JDs)recommender_systems ↔ rl_robotics (2 JDs)embodied_ai ↔ recommender_systems (2 JDs)code_gen ↔ recommender_systems (2 JDs)search_ranking ↔ vision (6 JDs)frontier_research ↔ search_ranking (4 JDs)interpretability ↔ search_ranking (3 JDs)search_ranking ↔ synthetic_data (3 JDs)rl_post_training ↔ search_ranking (6 JDs)rlhf ↔ search_ranking (2 JDs)reward_modeling ↔ search_ranking (2 JDs)rl_robotics ↔ search_ranking (2 JDs)embodied_ai ↔ search_ranking (2 JDs)interpretability ↔ vision (2 JDs)reward_modeling ↔ vision (2 JDs)multimodal ↔ reward_modeling (7 JDs)audio_speech ↔ synthetic_data (38 JDs)frontier_research ↔ rlhf (11 JDs)frontier_research ↔ reward_modeling (6 JDs)interpretability ↔ rlhf (5 JDs)interpretability ↔ reward_modeling (2 JDs)interpretability ↔ rl_robotics (4 JDs)embodied_ai ↔ interpretability (2 JDs)reward_modeling ↔ synthetic_data (6 JDs)agent_research ↔ rlhf (6 JDs)agent_research ↔ reward_modeling (3 JDs)rl_post_training ↔ rl_robotics (7 JDs)rl_robotics ↔ rlhf (2 JDs)reward_modeling ↔ rl_robotics (2 JDs)embodied_ai ↔ reward_modeling (2 JDs)multi_agent ↔ vector_db (2 JDs)multi_agent ↔ rag (5 JDs)pretraining ↔ rlhf (5 JDs)pretraining ↔ vector_db (22 JDs)interpretability ↔ pretraining (2 JDs)forecasting ↔ model_serving (3 JDs)forecasting ↔ inference_infra (2 JDs)forecasting ↔ llm_observability (3 JDs)evals ↔ training_infra (3 JDs)audio_speech ↔ training_infra (2 JDs)evals ↔ reward_modeling (9 JDs)forecasting ↔ rag (4 JDs)fine_tuning ↔ forecasting (3 JDs)evals ↔ rlhf (10 JDs)inference_infra ↔ rlhf (4 JDs)forecasting ↔ recommender_systems (8 JDs)forecasting ↔ search_ranking (2 JDs)data_pipeline ↔ model_serving (2 JDs)agent_orchestration ↔ semantic_search (4 JDs)fine_tuning ↔ training_infra (2 JDs)multimodal ↔ training_infra (3 JDs)agent_orchestration ↔ forecasting (3 JDs)embodied_ai ↔ guardrails (5 JDs)inference_infra ↔ multi_agent (2 JDs)guardrails ↔ synthetic_data (6 JDs)guardrails ↔ rl_robotics (5 JDs)inference_infra ↔ semantic_search (2 JDs)model_serving ↔ semantic_search (2 JDs)guardrails ↔ rlhf (3 JDs)RL post-training N=210 JDs Top co-occur: Fine-tuning ×134 · Evals ×107 · Model serving ×80Frontier research N=193 JDs Top co-occur: Fine-tuning ×91 · Pretraining ×75 · Model serving ×74Pretraining N=120 JDs Top co-occur: Fine-tuning ×76 · Frontier research ×75 · Model serving ×64Agent research N=301 JDs Top co-occur: Agent orchestration ×238 · LLM observability ×146 · Evals ×141Multimodal N=462 JDs Top co-occur: Model serving ×271 · Fine-tuning ×203 · Agent orchestration ×176Audio & speech N=135 JDs Top co-occur: Fine-tuning ×73 · Model serving ×67 · Multimodal ×50Code gen N=118 JDs Top co-occur: Agent orchestration ×88 · LLM observability ×47 · Tool use ×41Evals N=1047 JDs Top co-occur: Agent orchestration ×638 · LLM observability ×581 · Model serving ×513EvalsFine-tuning N=999 JDs Top co-occur: Model serving ×680 · Agent orchestration ×458 · LLM observability ×422Fine-tuningModel serving N=2444 JDs Top co-occur: Inference infra ×1409 · Agent orchestration ×1021 · LLM observability ×866Model servingGuardrails N=652 JDs Top co-occur: LLM observability ×490 · Agent orchestration ×459 · Evals ×335GuardrailsLLM observability N=1653 JDs Top co-occur: Agent orchestration ×1159 · Model serving ×866 · RAG ×669LLM observabilityInference infra N=1421 JDs Top co-occur: Model serving ×1409 · Agent orchestration ×424 · LLM observability ×381Inference infraAgent orchestration N=2448 JDs Top co-occur: LLM observability ×1159 · Model serving ×1021 · RAG ×868Agent orchestrationTool use N=648 JDs Top co-occur: Agent orchestration ×643 · LLM observability ×371 · RAG ×257Tool useRAG N=1083 JDs Top co-occur: Agent orchestration ×868 · LLM observability ×669 · Model serving ×608RAGVector DB N=481 JDs Top co-occur: RAG ×384 · Model serving ×315 · Agent orchestration ×296Synthetic data N=160 JDs Top co-occur: Fine-tuning ×61 · Evals ×56 · Model serving ×43Interpretability N=45 JDs Top co-occur: Evals ×23 · Guardrails ×20 · RL post-training ×18RLHF N=28 JDs Top co-occur: Fine-tuning ×18 · Multimodal ×11 · Frontier research ×11Reward modeling N=15 JDs Top co-occur: RL post-training ×15 · Fine-tuning ×10 · Evals ×9Vision N=193 JDs Top co-occur: Multimodal ×130 · Model serving ×128 · Fine-tuning ×86Training infra N=26 JDs Top co-occur: Model serving ×16 · Inference infra ×14 · LLM observability ×3Multi-agent N=54 JDs Top co-occur: Agent orchestration ×28 · LLM observability ×8 · Fine-tuning ×6Embodied AI N=159 JDs Top co-occur: Model serving ×62 · Agent orchestration ×51 · RL robotics ×41Recommender systems N=354 JDs Top co-occur: Model serving ×181 · Search & ranking ×176 · Agent orchestration ×96RL robotics N=51 JDs Top co-occur: Embodied AI ×41 · Model serving ×24 · Agent orchestration ×22Search & ranking N=208 JDs Top co-occur: Recommender systems ×176 · Model serving ×116 · RAG ×86Quantization N=40 JDs Top co-occur: Inference infra ×39 · Model serving ×39 · Fine-tuning ×13Forecasting N=30 JDs Top co-occur: Recommender systems ×8 · RAG ×4 · Model serving ×3Semantic search N=8 JDs Top co-occur: RAG ×6 · LLM observability ×6 · Vector DB ×4Distillation N=6 JDs Top co-occur: Inference infra ×6 · Model serving ×6 · Quantization ×6Sim-to-real N=1 JDsGPU kernels N=1 JDsData pipeline N=8 JDs Top co-occur: Model serving ×2
35 tags · 358 co-occurrence edges · min edge weight 2. Bubble area ∝ JDs containing tag · edge thickness ∝ co-occurrence count. Hover any node for top-3 partners; click to see the JDs.

Tag velocity · last 4 weeks vs prior 4

Which technologies are hot, which are cooling. Sparkline = 12 weeks of unique roles tagged with each term, last bar on the right is this week. Sorted by absolute pickup. Tags with under 10 lifetime mentions are hidden as noise.

Tag12-week trendLast 4wPrior 4wΔTotal
agent_orchestration
61 roles
Feb 23
57 roles
Mar 2
113 roles
9
106 roles
16
110 roles
23
179 roles
30
137 roles
Apr 6
185 roles
13
222 roles
20
267 roles
27
324 roles
May 4
0 roles
11
981523↑+4582448
model_serving
66 roles
Feb 23
58 roles
Mar 2
81 roles
9
88 roles
16
82 roles
23
234 roles
30
152 roles
Apr 6
176 roles
13
213 roles
20
253 roles
27
314 roles
May 4
0 roles
11
937560↑+3772444
llm_observability
35 roles
Feb 23
48 roles
Mar 2
69 roles
9
76 roles
16
73 roles
23
129 roles
30
88 roles
Apr 6
125 roles
13
138 roles
20
166 roles
27
219 roles
May 4
0 roles
11
638360↑+2781653
inference_infra
38 roles
Feb 23
34 roles
Mar 2
43 roles
9
48 roles
16
43 roles
23
164 roles
30
96 roles
Apr 6
114 roles
13
118 roles
20
148 roles
27
179 roles
May 4
0 roles
11
547356↑+1911421
rag
30 roles
Feb 23
18 roles
Mar 2
40 roles
9
52 roles
16
48 roles
23
90 roles
30
68 roles
Apr 6
69 roles
13
85 roles
20
126 roles
27
149 roles
May 4
0 roles
11
421248↑+1731083
evals
34 roles
Feb 23
22 roles
Mar 2
34 roles
9
43 roles
16
46 roles
23
64 roles
30
52 roles
Apr 6
86 roles
13
81 roles
20
103 roles
27
104 roles
May 4
0 roles
11
368205↑+1631047
tool_use
16 roles
Feb 23
9 roles
Mar 2
26 roles
9
30 roles
16
25 roles
23
47 roles
30
42 roles
Apr 6
55 roles
13
69 roles
20
85 roles
27
90 roles
May 4
0 roles
11
295142↑+153648
fine_tuning
33 roles
Feb 23
26 roles
Mar 2
27 roles
9
45 roles
16
39 roles
23
112 roles
30
56 roles
Apr 6
55 roles
13
87 roles
20
98 roles
27
111 roles
May 4
0 roles
11
346250↑+96999
guardrails
26 roles
Feb 23
22 roles
Mar 2
33 roles
9
32 roles
16
36 roles
23
51 roles
30
44 roles
Apr 6
46 roles
13
55 roles
20
56 roles
27
92 roles
May 4
0 roles
11
247162↑+85652
recommender_systems
15 roles
Feb 23
7 roles
Mar 2
8 roles
9
11 roles
16
17 roles
23
28 roles
30
16 roles
Apr 6
29 roles
13
25 roles
20
26 roles
27
48 roles
May 4
0 roles
11
12871↑+57354
agent_research
10 roles
Feb 23
12 roles
Mar 2
17 roles
9
11 roles
16
9 roles
23
20 roles
30
11 roles
Apr 6
21 roles
13
26 roles
20
25 roles
27
37 roles
May 4
0 roles
11
10750↑+57301
vector_db
32 roles
Feb 23
12 roles
Mar 2
16 roles
9
20 roles
16
27 roles
23
42 roles
30
26 roles
Apr 6
25 roles
13
36 roles
20
46 roles
27
58 roles
May 4
0 roles
11
164110↑+54481
search_ranking
9 roles
Feb 23
4 roles
Mar 2
7 roles
9
3 roles
16
9 roles
23
11 roles
30
10 roles
Apr 6
15 roles
13
11 roles
20
16 roles
27
25 roles
May 4
0 roles
11
6733↑+34208
code_gen
3 roles
Feb 23
3 roles
Mar 2
3 roles
9
5 roles
16
6 roles
23
5 roles
30
6 roles
Apr 6
9 roles
13
10 roles
20
24 roles
27
12 roles
May 4
0 roles
11
5423↑+31118
multimodal
7 roles
Feb 23
12 roles
Mar 2
11 roles
9
25 roles
16
18 roles
23
74 roles
30
30 roles
Apr 6
32 roles
13
29 roles
20
44 roles
27
57 roles
May 4
0 roles
11
161134↑+27462
embodied_ai
9 roles
Feb 23
3 roles
Mar 2
5 roles
9
4 roles
16
6 roles
23
9 roles
30
14 roles
Apr 6
9 roles
13
10 roles
20
15 roles
27
12 roles
May 4
0 roles
11
4633↑+13159
frontier_research
11 roles
Feb 23
6 roles
Mar 2
3 roles
9
5 roles
16
6 roles
23
24 roles
30
7 roles
Apr 6
12 roles
13
13 roles
20
16 roles
27
12 roles
May 4
0 roles
11
5341↑+12193
forecasting
0 roles
Feb 23
1 role
Mar 2
0 roles
9
2 roles
16
0 roles
23
2 roles
30
0 roles
Apr 6
6 roles
13
1 role
20
4 roles
27
5 roles
May 4
0 roles
11
164↑+1230
vision
1 role
Feb 23
5 roles
Mar 2
5 roles
9
3 roles
16
5 roles
23
40 roles
30
14 roles
Apr 6
12 roles
13
12 roles
20
23 roles
27
25 roles
May 4
0 roles
11
7161↑+10193
multi_agent
1 role
Feb 23
4 roles
Mar 2
3 roles
9
1 role
16
3 roles
23
2 roles
30
1 role
Apr 6
3 roles
13
5 roles
20
8 roles
27
3 roles
May 4
0 roles
11
188↑+1054
training_infra
2 roles
Feb 23
0 roles
Mar 2
2 roles
9
0 roles
16
1 role
23
1 role
30
0 roles
Apr 6
1 role
13
3 roles
20
3 roles
27
1 role
May 4
0 roles
11
82↑+626
rl_post_training
10 roles
Feb 23
5 roles
Mar 2
2 roles
9
6 roles
16
8 roles
23
24 roles
30
9 roles
Apr 6
11 roles
13
12 roles
20
15 roles
27
10 roles
May 4
0 roles
11
4847↑+1210
rl_robotics
5 roles
Feb 23
3 roles
Mar 2
2 roles
9
0 roles
16
3 roles
23
2 roles
30
5 roles
Apr 6
3 roles
13
2 roles
20
3 roles
27
3 roles
May 4
0 roles
11
1110↑+151
reward_modeling
2 roles
Feb 23
0 roles
Mar 2
1 role
9
0 roles
16
1 role
23
0 roles
30
1 role
Apr 6
1 role
13
0 roles
20
1 role
27
1 role
May 4
0 roles
11
32↑+115
interpretability
4 roles
Feb 23
2 roles
Mar 2
0 roles
9
1 role
16
3 roles
23
2 roles
30
3 roles
Apr 6
0 roles
13
2 roles
20
4 roles
27
0 roles
May 4
0 roles
11
69↓-345
quantization
0 roles
Feb 23
0 roles
Mar 2
1 role
9
2 roles
16
1 role
23
14 roles
30
2 roles
Apr 6
2 roles
13
5 roles
20
5 roles
27
3 roles
May 4
0 roles
11
1519↓-440
rlhf
4 roles
Feb 23
2 roles
Mar 2
0 roles
9
0 roles
16
3 roles
23
3 roles
30
2 roles
Apr 6
0 roles
13
2 roles
20
1 role
27
1 role
May 4
0 roles
11
48↓-428
pretraining
8 roles
Feb 23
5 roles
Mar 2
1 role
9
7 roles
16
2 roles
23
22 roles
30
9 roles
Apr 6
5 roles
13
6 roles
20
11 roles
27
10 roles
May 4
0 roles
11
3237↓-5120
synthetic_data
6 roles
Feb 23
7 roles
Mar 2
5 roles
9
5 roles
16
6 roles
23
30 roles
30
11 roles
Apr 6
7 roles
13
9 roles
20
18 roles
27
6 roles
May 4
0 roles
11
4051↓-11160
audio_speech
0 roles
Feb 23
6 roles
Mar 2
4 roles
9
3 roles
16
6 roles
23
47 roles
30
7 roles
Apr 6
9 roles
13
8 roles
20
13 roles
27
9 roles
May 4
0 roles
11
3963↓-24135