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DescendantsBacktranslationBag-of-wordsContextualized word representationsBERTALBERTBERT + KBBERT + Sentence EmbeddingsSentence-BERTsBERT fine-tuningSentence-BERT: Domain adaptationSentenceBERT and WordsBERT-based entity linkingBERT fine-tuningBERT fine-tuning: instabilitiesBertologyBERTopicCamemBERTDistilBERTDomain-Specific BERTKeyBERTKnowBertELMoKnowBertULMFiTDistributional semanticsLatent Semantic AnalysisLesk algorithmTopic ModelingBERTopicDynamic topic modelgensimLatent Dirichlet allocationTop2VecTopic Modeling over Short TextsTopic Models + Word embeddingWord embeddingsA La Carte EmbeddingCross-lingual Word EmbeddingsELMoFastTextGloVeLDA2vecSubword embeddingsTopic Models + Word embeddingUsing word embeddingsWord + Entity embeddingsWikipedia2VecWord2vecDoc2VecWord2vec: howtoWord embedding: evaluationWord Embedding CompositionalitySIF embeddingsWord embeddings: introductionWord embeddings with lexical resourcesGraph database and NLPLanguage ModelAnisotropy in LM spaceEmergence in LLMsInstruction tuningLanguage Model: AdaptationLanguage Model: domain adaptationLM Fine-tuningBERT fine-tuningContinued pre-trainingLLM Fine-tuning vs promptingLLM Fine-tuning vs RAGParameter-efficient fine-tuning (PEFT)Adapter modules (LM finetuning)LoRATask-specific modelsLanguage Model: domain adaptationLanguage Models: sizeLanguage Models + KnowledgeEntities and LMLUKEMasked entity predictionTransformer-Based Entity LinkingKnowledge-augmented Language ModelsKG-augmented Language ModelsRetrieval augmented LMColBERTDSPy (Demonstrate-Search-Predict)REALMRetrieval-based language modelsLanguage Models as Knowledge BasesLM + KGBERT + KBLLM + KGLLMs and basic Renault KnowledgeNot Encoding Factual Knowledge in Language ModelLLMBardChatGPTChatGPT: competitorsChatGPT: costsChatGPT: programmingChatGPT: ToolsChatGPT pluginsChatGPT Retrieval PluginGPT Code InterpreterChatGPT: trainingChatGPT: use-caseChatGPT+SearchBing+ChatGPTChatGPT Retrieval PluginKnowledge (Raphaël)paper-QAperplexity.aiChatGPT APIChatGPT fine-tuningChatGPT Over Your DataChatGPT pluginsChichillaDo LLMs understand?Emergence in LLMsFrugal LLMsFunction Calling (LLM)GeminiGenerative Transformer LMOpenAI GPTChatGPTGPT: alternativesGPT: appsGPT/LLM devGPT-2GPT-3GPT-3.5GPT-4GPTsGPT sample codeGPT use-caseChatGPT: use-caseGPT and educationOpenAI: Function callingOpenAI Embeddingsperplexity.aiWindows CopilotPrompting/In-context learningIn-context learningLLMs: extended context windowMany-Shot In-Context LearningLLM Fine-tuning vs promptingPrompt engineeringRetrieval-augmented in-context learningGPT/LLM devGPT-3Hallucination problemInstruction tuningLLaMALLM + CodeLLM + IRHyDERAG (Retrieval-Augmented Generation)HyDELLM Fine-tuning vs RAGRAG: AgentsRAG: chunkingRAG + KGRAG evaluationRAG isn't easyWalkingRAGLLM + KGLLM + structured dataChat over structured dataLLM+SQLLLM CompositionLLM pre-trainingLLMs + scientific papersLLMs in enterprisesLLMs over your dataChatGPT Over Your DataChat over structured dataChat over your dataChatGPT Over Your DataChat over your PDFsChat over your PDFsGPT4AllLlamaIndexJerry LiuLLM TipsLM: tokenizationOpenAI GPTOpen-source LLMSemantic KernelTool-Augmented LLMsChatGPT pluginsLLMs accessing APIsOpenAI: Function callingToolformerLM: reasonningLM: tokenizationLM + Link PredictionLM + SearchLM evaluationLM Fine-tuningLMs: context lengthLM TrainingMLMMultilingual Language ModelsPaLMPre-Trained Language ModelsBERTELMoERNIELLMOpenAI GPTPromptsPrompt engineeringPrompting/In-context learningPrompt TuningT5 (Text-To-Text Transfer Transformer)ULMFiTXLNetReasoning augmented LMRetrieval-based language modelsRNN based Language ModelLatent Semantic AnalysisMaxent modelsMaxEnt classifier (Multinomial logistic regression)MaxEnt for NLPMLMNeural Bag of WordsN-gramsNLP: pretrainingPre-Trained Language ModelsNLP: Text RepresentationBag-of-wordsDocument embeddingsDoc2VecDSSM (Deep Semantic Similarity Model)Representation of text + metadataGraph-based Text RepresentationsLong documentsText EmbeddingsE5Geometry of language embeddingsMTEBOpenAI EmbeddingsRepresentation of text + metadataSentence EmbeddingsA La Carte EmbeddingDoc2VecDSSM (Deep Semantic Similarity Model)E5Sent2VecSentence embeddings: Domain adaptationSentence TransformersBERT + Sentence EmbeddingsSIF embeddingsUniversal Sentence EncoderUnsupervised Sentence Embedding LearningNLP: using KnowledgeKnowledge Graphs in NLPNN 4 NLPCNN 4 NLPDeep NLPELMoExplainable NLPBlackbox NLPLIMEPre-Trained Language ModelsSemantic HashingWord embeddingsPre-Trained Language ModelsRetrieval-based NLPSelf-Supervised Learning (NLP)StemmingText: dimension reductionText feature extractionText and structured data (ML-NLP)Structured data extractionText and tabular data (ML-NLP)Text feature extractionText processingTopic ModelingVector space modelgensimLatent Semantic AnalysisTF-IDFWord embeddings