Terms added

README.md

@@ -32,13 +32,16 @@ It's becoming difficult to catch up with the AI space. This doc will can be used
 |ML         |	Machine Learning, A component in AI that allows computers to learn and make better predictive outcomes without explicit programming. Can be coupled with training sets to generate new content.	
 |MLM        |	Masked Language Model	
 |MRC        |   Machine Reading Comprehension  
+|MTPB       |   Multi-Turn Programming Benchmark, a benchmark consisting of 115 diverse problem sets that are factorized into multi-turn prompts | https://arxiv.org/pdf/2203.13474.pdf
 |NeurIPS    |	Neural Information Processing System	                                            |       https://neurips.cc/
 |NLP        |	Natural language processing. A branch of AI that uses machine learning and deep learning to give computers the ability to understand human language, often using learning algorithms, statistical models and linguistic rules.	
 |NLG        |	Natural Language Generation. A branch of AI that uses machine learning and deep learning to generate human-like language.	
 |NSP        |	Next Sentence Prediction
 |PALM       |   Pathways Language Model	                                                            |       https://arxiv.org/pdf/2204.02311.pdf
 |PEFT       |	Parameter Efficient Fine-Tuning	                                                    |       https://huggingface.co/blog/peft
+|PPO        |	Proximal Policy Optimization, foundational RL algorithm for learning from human preferences |       https://arxiv.org/pdf/1707.06347.pdf
 |RAG        |   Retriever-Augmented Generation is an AI framework that combines an information retrieval component with a text generation model to improve the quality of responses generated by LLMs.      |       https://arxiv.org/pdf/2005.11401.pdf
+|RLHF       |	Reinforcement Learning from Human Feedback	                                        |       https://arxiv.org/pdf/2305.18438.pdf
 |RoBERTa    |	Robustly Optimized BERT Approach	                                                |       https://arxiv.org/pdf/1907.11692.pdf
 |SQuAD      |	Stanford Question Answering Dataset	                                                |       https://arxiv.org/pdf/1606.05250.pdf
 |SVAMP      |   Simple Variations on Arithmetic Math word Problems is a challenge set to enable more robust evaluation of automatic MWP (Math Word Problem) solvers | https://github.com/arkilpatel/SVAMP