docs: update references

docs/blog/02-surpassing-chatgpt-with-open-source-alternatives.mdx

@@ -128,22 +128,22 @@ We conclude that this combination of model merging + finetuning + RAG yields pro
 
 Anecdotally, we’ve had some success using this model in practice to onboard new team members to the Nitro codebase.
 
-A full research report with more statistics can be found [here](https://github.com/janhq/open-foundry/blob/main/rag-is-not-enough/README.md).
+A full research report with more statistics can be found at https://github.com/janhq/open-foundry/blob/main/rag-is-not-enough/README.md.
 
 ## References
 
-[1] Jason Wei, Maarten Bosma, Vincent Y. Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M. Dai, Quoc V. Le. "Finetuned Language Models Are Zero-Shot Learners." arXiv preprint arXiv:2109.01652 (2021). URL: https://arxiv.org/abs/2109.01652
+[1] Jason Wei, Maarten Bosma, Vincent Y. Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M. Dai, Quoc V. Le. Finetuned Language Models Are Zero-Shot Learners. *arXiv preprint arXiv:2109.01652*, 2021. URL: https://arxiv.org/abs/2109.01652
 
-[2] Haipeng Luo, Qingfeng Sun, Can Xu, Pu Zhao, Jianguang Lou, Chongyang Tao, Xiubo Geng, Qingwei Lin, Shifeng Chen, Dongmei Zhang. "WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct." arXiv preprint arXiv:2308.09583 (2023). URL: https://arxiv.org/abs/2308.09583
+[2] Haipeng Luo, Qingfeng Sun, Can Xu, Pu Zhao, Jianguang Lou, Chongyang Tao, Xiubo Geng, Qingwei Lin, Shifeng Chen, Dongmei Zhang. WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct. *arXiv preprint arXiv:2308.09583*, 2023. URL: https://arxiv.org/abs/2308.09583
 
-[3] Luo, Y., Yang, Z., Meng, F., Li, Y., Zhou, J., & Zhang, Y. (2023). "An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning." arXiv preprint arXiv:2308.08747. URL: https://arxiv.org/abs/2308.08747
+[3] Luo, Y., Yang, Z., Meng, F., Li, Y., Zhou, J., & Zhang, Y. An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning. *arXiv preprint arXiv:2308.08747*,2023 URL: https://arxiv.org/abs/2308.08747
 
-[4] Ziyang Luo, Can Xu, Pu Zhao, Qingfeng Sun, Xiubo Geng, Wenxiang Hu, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang. "WizardCoder: Empowering Code Large Language Models with Evol-Instruct." arXiv preprint arXiv:2306.08568 (2023). URL: https://arxiv.org/abs/2306.08568
+[4] Ziyang Luo, Can Xu, Pu Zhao, Qingfeng Sun, Xiubo Geng, Wenxiang Hu, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang. WizardCoder: Empowering Code Large Language Models with Evol-Instruct., *arXiv preprint arXiv:2306.08568*, 2023. URL: https://arxiv.org/abs/2306.08568
 
 [5] SciPhi-AI, "Agent Search Repository." GitHub. URL: https://github.com/SciPhi-AI/agent-search
 
-[6] Nelson F. Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, Percy Liang. "Lost in the Middle: How Language Models Use Long Contexts." arXiv preprint arXiv:2307.03172 (2023). URL: https://arxiv.org/abs/2307.03172
+[6] Nelson F. Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, Percy Liang. "Lost in the Middle: How Language Models Use Long Contexts." *arXiv preprint arXiv:2307.03172*, 2023. URL: https://arxiv.org/abs/2307.03172
 
-[7] Luo, H., Sun, Q., Xu, C., Zhao, P., Lou, J., Tao, C., Geng, X., Lin, Q., Chen, S., & Zhang, D. (2023). "WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct." arXiv preprint arXiv:2308.09583. URL: https://arxiv.org/abs/2308.09583
+[7] Luo, H., Sun, Q., Xu, C., Zhao, P., Lou, J., Tao, C., Geng, X., Lin, Q., Chen, S., & Zhang, D. WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct. *arXiv preprint arXiv:2308.09583*, 2023. URL: https://arxiv.org/abs/2308.09583
 
 [8] nlpxucan et al., "WizardLM Repository." GitHub. URL: https://github.com/nlpxucan/WizardLM